World-class research based on a distinctive, interdisciplinary approach to the natural sciences, social sciences, engineering and technology, and the arts and humanities.
The MU International Office is the first point of contact for international students applying for full-degree, Erasmus, Study Abroad, and Summer School programmes, and supports MU students who wish to study abroad.
Andrew Parnell is Hamilton Professor and Director of the Hamilton Institute at Maynooth University. His research is in statistics and machine learning applied to a wide variety of scientific areas. He has co-authored over 100 peer-reviewed journal and conference papers, including in Science, Nature Communications, Nature Plants, and Proceedings of the National Academy of Sciences, and has contributed foundational methodology in journals such as Statistics and Computing, Knowledge-Based Systems, and Environmetrics. He has been awarded over €11 million to date in direct funding as PI or Co-PI, and has been involved in grants totalling over €65 million as PI/collaborator. He is currently: a principal investigator in the SFI I-Form Advanced Manufacturing Centre; a Co-Applicant in the Climate+ Centre for Climate, Biodiversity and Water; a funded investigator in the MAREI centre for Energy, Climate, and Marine Research & Innovation; and a funded investigator in the SFI Insight Centre for Data Analytics.
His current list of projects where he is PI or Co-PI includes:
The Nature + Energy project in which monitors and improves biodiversity at on-shore wind farm sites in Ireland in using state of the art artificial intelligence techniques
The Industrial Supervised Learning project which generates new tree-based machine learning predictive techniques for industry partners
The A4 project which quantifies the behaviour and rate of change of sea level in Ireland and the US East Coast
The InnoVar project which is developing the next generation of wheat varieties under climate change stress using high-dimensional machine learning
The Mycotox-I project which quantifies and reduces the level of mycotoxins in oat varieties using bioinformatic techniques
The I-Form research platform which builds optimised and sustainable additive manufacturing (3D printing) routines using Deep Reinforcement Learning
The Predict project which forecasts and detects changes in the environment in Dublin Bay using a variety of sensors including drones, buoys, and satellites
Research Projects
Title
Role
Description
Start date
End date
Amount
Mycotox-I
PI
01/09/2021
31/08/2026
206847.5
MaREI TP: Nature + Energy
PI
01/03/2021
28/02/2025
133970
Maternity Cover Allowance, I-Form
PI
05/01/2021
04/07/2021
31763.88
INSIGHT Phase 2 Andrew Parnell Platform
PI
01/01/2020
31/12/2024
410206.7
Computational tools for medium-term impact and recovery forecasting from COVID-19
PI
03/06/2020
02/12/2020
90717
InnoVar: Next generation variety testing for improved cropping on European farmland
PI
01/10/2019
31/03/2024
573225
Industrial supervised learning
PI
01/04/2018
31/03/2022
530160
iFORM research centre (Transfer)
PI
01/11/2017
31/10/2023
492229.5
Post Doctoral Fellows / Research Team
Researcher Name
Project
Funding Body
Bruna Davies Wundervald
Industrial Supervised Learning
Yong Chen Goh
Insight
Anthony Thomas Gibbons
Nature + Energy
Maeve Carmel Upton
A4
Amin Shoari Nejad
Predict
Nathan Lionel Mc James
Centre for Research Training in Foundations of Data Science
Eleni Zavrakli
I-Form
Danilo Augusto Sarti
Innovar
Antonia Alessandra Lemos Dos Santos
Innovar
Mateus Maia Marques
Industrial Supervised Learning
Emma Govan
Insight
Daire Healy
Centre for Research Training in Foundations of Data Science
Peer Reviewed Journal
Year
Publication
2023
Cahill N.; Croke J.; Campbell M.; Hughes K.; Vitkovsky J.; Kilgallen J.E.; Parnell A. (2023) 'A Bayesian time series model for reconstructing hydroclimate from multiple proxies'. Environmetrics, . [DOI][Full-Text]
2023
Zavrakli, E.; Parnell, A.; Malone, D.; Duffy, K.; Dey, S. (2023) 'Optimal age-specific vaccination control for COVID-19: An Irish case study'. PLoS ONE, 18 . [Link][DOI][Full-Text]
2023
McJames, N.; Parnell, A.; O’Shea, A. (2023) 'Factors affecting teacher job satisfaction: a causal inference machine learning approach using data from TALIS 2018'. Educational Review, . [Link][DOI][Full-Text]
2023
Gibbons, A.; Donohue, I.; Gorman, C.; King, E.; Parnell, A. (2023) 'NEAL: an open-source tool for audio annotation'. PeerJ, 11 . [Link][DOI][Full-Text]
2023
Danilo Sarti; Estevão B. Prado; Alan N Inglis; Antônia A.L. dos Santos; Catherine B Hurley; Rafael A. Moral; Andrew C. Parnell (2023) 'Bayesian Additive Regression Trees for Genotype by Environment Interaction Models (AMBARTI)'. Annals of Applied Statistics, .
2022
Ballutaud M.; Travers-Trolet M.; Marchal P.; Dubois S.F.; Giraldo C.; Parnell A.C.; Nuche-Pascual M.T.; Lefebvre S. (2022) 'Inferences to estimate consumer’s diet using stable isotopes: Insights from a dynamic mixing model'. PLoS ONE, 17 (2 Febuary). [DOI][Full-Text]
2022
Inglis A.; Parnell A.; Hurley C.B. (2022) 'Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models'. Journal of Computational and Graphical Statistics, . [DOI][Full-Text]
2022
Shoari Nejad A.; Parnell A.C.; Greene A.; Thorne P.; Kelleher B.P.; Devoy R.J.N.; McCarthy G. (2022) 'A newly reconciled dataset for identifying sea level rise and variability in Dublin Bay'. Ocean Science, 18 (2):511-522. [DOI][Full-Text]
2022
DeFelipe I.; Alcalde J.; Baykiev E.; Bernal I.; Boonma K.; Carbonell R.; Flude S.; Folch A.; Fullea J.; García-Castellanos D.; Geyer A.; Giralt S.; Hernández A.; Jiménez-Munt I.; Kumar A.; Llorens M.G.; Martí J.; Molina C.; Olivar-Castaño A.; Parnell A.; Schimmel M.; Torné M.; Ventosa S. (2022) 'Towards a Digital Twin of the Earth System: Geo-Soft-CoRe, a Geoscientific Software & Code Repository'. Frontiers In Earth Science, 10 . [DOI][Full-Text]
2022
Mimnagh N.; Parnell A.; Prado E.; Moral R.d.A. (2022) 'Bayesian multi-species N-mixture models for unmarked animal communities'. Environmental and Ecological Statistics, . [DOI][Full-Text]
2022
Tu Y.; Liu Z.; Carneiro L.; Ryan C.M.; Parnell A.C.; Leen S.B.; Harrison N.M. (2022) 'Towards an instant structure-property prediction quality control tool for additive manufactured steel using a crystal plasticity trained deep learning surrogate'. Materials and Design, 213 . [DOI][Full-Text]
2022
Mc Ardle A; Kwasnik A; Szentpetery A; Hernandez B; Parnell A; de Jager W; de Roock S; FitzGerald O; Pennington SR; (2022) 'Identification and Evaluation of Serum Protein Biomarkers That Differentiate Psoriatic Arthritis From Rheumatoid Arthritis'. Arthritis & Rheumatology (Hoboken, N.J.), 74 (1). [DOI][Full-Text]
2021
Egan, S; Kearney, CM; Brama, PAJ; Parnell, AC; McGrath, D (2021) 'Exploring stable-based behaviour and behaviour switching for the detection of bilateral pain in equines'. Applied Animal Behaviour Science, 235 . [DOI][Full-Text]
2021
Kemp A.C.; Vane C.H.; Kim A.W.; Dutton C.L.; Subalusky A.L.; Kemp S.K.; Parnell A.C. (2021) 'Fecal steroids as a potential tool for conservation paleobiology in East Africa'. Biodiversity and Conservation, . [DOI][Full-Text]
2021
Djamali M.; Rashidian E.; Askari-Chaverdi A.; Aubert C.; Brisset E.; Demory F.; Faucherre N.; Gandouin E.; Lahijani H.; Marriner N.; Naderi-Beni A.; Parnell A. (2021) 'Early Sasanian landscape modification: New geoarchaeological evidence from the Ardashir Pond in southwest Iran (Palace of Ardashir, third century CE)'. Geoarchaeology - An International Journal, . [DOI][Full-Text]
2021
Byrne A.W.; Parnell A.; O’Keeffe J.; Madden J.M. (2021) 'The challenge of estimating wildlife populations at scale: the case of the European badger (Meles meles) in Ireland'. European Journal of Wildlife Research, 67 (5). [DOI][Full-Text]
2021
Egan D.S.; Ryan C.M.; Parnell A.C.; Dowling D.P. (2021) 'Using in-situ process monitoring data to identify defective layers in Ti-6Al-4V additively manufactured porous biomaterials'. Journal of Manufacturing Processes, 64 :1248-1254. [DOI][Full-Text]
2021
Tewari P.; Kashdan E.; Walsh C.; Martin C.M.; Parnell A.C.; O'Leary J.J. (2021) 'Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling'. PLoS Computational Biology, 17 (8). [DOI][Full-Text]
2021
Rafter P.; Gormley I.C.; Purfield D.; Parnell A.C.; Naderi S.; Berry D.P. (2021) 'Genome-wide association analyses of carcass traits using copy number variants and raw intensity values of single nucleotide polymorphisms in cattle'. BMC Genomics, 22 (1). [DOI][Full-Text]
2021
Haslett J.; Parnell A.C.; Hinde J.; de Andrade Moral R. (2021) 'Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches'. International Statistical Review, . [DOI][Full-Text]
2021
Croke J.; Vítkovský J.; Hughes K.; Campbell M.; Amirnezhad-Mozhdehi S.; Parnell A.; Cahill N.; Dalla Pozza R. (2021) 'A palaeoclimate proxy database for water security planning in Queensland Australia'. Scientific Data, 8 (1). [DOI][Full-Text]
2021
Rafter P.; Gormley I.C.; Parnell A.C.; Naderi S.; Berry D.P. (2021) 'The Contribution of Copy Number Variants and Single Nucleotide Polymorphisms to the Additive Genetic Variance of Carcass Traits in Cattle'. Frontiers in Genetics, 12 . [DOI][Full-Text]
2021
Prado E.B.; Moral R.A.; Parnell A.C. (2021) 'Bayesian additive regression trees with model trees'. Statistics and Computing, 31 (3). [DOI][Full-Text]
2021
Pilarczyk J.E.; Sawai Y.; Namegaya Y.; Tamura T.; Tanigawa K.; Matsumoto D.; Shinozaki T.; Fujiwara O.; Shishikura M.; Shimada Y.; Dura T.; Horton B.P.; Parnell A.C.; Vane C.H. (2021) 'A further source of Tokyo earthquakes and Pacific Ocean tsunamis'. Nature Geoscience, . [DOI]
2021
Christie, Margaret A; Bernhardt, Christopher E; Parnell, Andrew C; Shaw, Timothy A; Khan, Nicole S; Corbett, D Reide; Garcia-Artola, Ane; Clear, Jennifer; Walker, Jennifer S; Donnelly, Jeffrey P (2021) 'Pollen Geochronology from the Atlantic Coast of the United States during the Last 500 Years'. Air, Soil and Water Research, . [Full-Text]
2021
Doyle, Aoife C and Egan, Darragh S and Ryan, Caitr\'\iona M and Parnell, Andrew C and Dowling, Denis P (2021) 'Application of the STRAY statistical learning algorithm for the evaluation of in-situ process monitoring data during L-PBF additive manufacturing'. 54 :250-256. [Full-Text]
2021
Dempsey, Rebecca; Parnell, Andrew; McCarron, Pádraig; McCarthy, Gerard; E (2021) 'Excess Mortality in Dublin during the Covid-19 Pandemic: Using RIP. ie as a geographical source'. Irish Geography, . [Full-Text]
2020
Bahadori M.; Chen C.; Lewis S.; Rashti M.R.; Cook F.; Parnell A.; Esfandbod M.; Stevens T. (2020) 'Tracing the sources of sediment and associated particulate nitrogen from different land uses in the Johnstone River catchment, Wet Tropics, north-eastern Australia'. Marine Pollution Bulletin, 157 . [DOI][Full-Text]
2020
O'Sullivan J.; Sweeney C.; Parnell A. (2020) 'Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland'. Environmetrics, . [DOI][Full-Text]
2020
Hernández A.; Sánchez-López G.; Pla-Rabes S.; Comas-Bru L.; Parnell A.; Cahill N.; Geyer A.; Trigo R.M.; Giralt S. (2020) 'A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula'. Scientific Reports, 10 (1). [DOI][Full-Text]
2020
Bruna Wundervald, Andrew Parnell, Katarina Domijan (2020) 'Generalizing Gain Penalization for Feature Selection in Tree-based Models'. Ieee Access, 8 . [DOI][Full-Text]
2020
Prado, Estevao and O’Neill, Eoghan and Hernandez, Belinda and Parnell, Andrew C. and Moral, Rafael A (2020) 'Discussion of: Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects'. 15 :1029-1031. [Full-Text]
2020
Hern\'andez, Armand and Martin-Puertas, Celia and Moffa-S\'anchez, Paola and Moreno-Chamarro, Eduardo and Ortega, Pablo and Blockley, Simon and Cobb, Kim M and Comas-Bru, Laia and Giralt, Santiago and Goosse, Hugues and others (2020) 'Modes of climate variability: Synthesis and review of proxy-based reconstructions through the Holocene'. . [Full-Text]
2020
Alaiz-Rodriguez R.; Parnell A.C. (2020) 'A Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR Spectra'. Ieee Access, 8 :52385-52394. [DOI][Full-Text]
2020
Tai Y.; Daly P.; Mckinnon E.; Parnell A.; Feener R.; Majewski J.; Ismail N.; Sieh K. (2020) 'The impact of Ming and Qing dynasty maritime bans on trade ceramics recovered from coastal settlements in northern Sumatra, Indonesia'. Archaeological Research In Asia, 21 . [DOI][Full-Text]
2020
Rafter P.; Gormley I.C.; Parnell A.C.; Kearney J.F.; Berry D.P. (2020) 'Concordance rate between copy number variants detected using either high- or medium-density single nucleotide polymorphism genotype panels and the potential of imputing copy number variants from flanking high density single nucleotide polymorphism haplotypes in cattle'. BMC Genomics, 21 (1). [DOI][Full-Text]
2020
Alaiz-Rodríguez R.; Parnell A.C. (2020) 'An information theoretic approach to quantify the stability of feature selection and ranking algorithms'. Knowledge-Based Systems, . [DOI][Full-Text]
2020
Dempsey R.; Parnell A.; Maccarron P.; McCarthy G.D. (2020) 'Excess mortality in dublin during the covid-19 pandemic: Using rip.ie as a geographical source'. Irish Geography, 53 (2):163-172. [DOI][Full-Text]
2020
Barrientos G.M.; Alaiz-Rodríguez R.; González-Castro V.; Parnell A.C. (2020) 'Machine learning techniques for the detection of inappropriate erotic content in text'. International Journal of Computational Intelligence Systems, 13 (1):591-603. [DOI][Full-Text]
2020
Kadye, WT; Redelinghuys, S; Parnell, AC; Booth, AJ (2020) 'Exploring source differences on diet-tissue discrimination factors in the analysis of stable isotope mixing models'. Scientific Reports, 10 . [DOI][Full-Text]
2019
Soh W.; Yiotis C.; Murray M.; Parnell A.; Wright I.; Spicer R.; Lawson T.; Caballero R.; McElwain J. (2019) 'Rising CO2 drives divergence in water use efficiency of evergreen and deciduous plants'. Science Advances, 5 (12). [DOI]
2019
Murray M.; Soh W.; Yiotis C.; Batke S.; Parnell A.; Spicer R.; Lawson T.; Caballero R.; Wright I.; Purcell C.; McElwain J. (2019) 'Convergence in maximum stomatal conductance of C3 woody angiosperms in natural ecosystems across bioclimatic zones'. Frontiers in Plant Science, 10 . [DOI][Full-Text]
2019
Hill, EW and McGivney, BA and Rooney, M and Katz, LM and Parnell, A and MacHugh, DE (2019) 'The contribution of myostatin (MSTN) and additional modifying genetic loci to race distance aptitude in Thoroughbred horses racing in different geographic regions'. . [Full-Text]
2019
Daly P.; Sieh K.; Seng T.; McKinnon E.; Parnell A.; Ardiansyah; Feener R.; Ismail N.; Nizamuddin; Majewski J. (2019) 'Archaeological evidence that a late 14th-century tsunami devastated the coast of northern Sumatra and redirected history'. Proceedings of the National Academy of Sciences of the United States of America, 116 (24):11679-11686. [DOI][Full-Text]
2019
Duffill Telsnig J.; Jennings S.; Mill A.; Walker N.; Parnell A.; Polunin N. (2019) 'Estimating contributions of pelagic and benthic pathways to consumer production in coupled marine food webs'. Journal of Animal Ecology, 88 (3):405-415. [DOI][Full-Text]
2019
Murray, Michelle and Soh, Wuu Kuang and Yiotis, Charilaos and Batke, Sven and Parnell, Andrew and Spicer, Robert A and Lawson, Tracy and Caballero, Rodrigo and Wright, Ian J and Purcell, Conor and others (2019) 'Convergence in Maximum Stomatal Conductance of C3 Woody Angiosperms in Natural Ecosystems Across Bioclimatic Zones'. 10 . [Full-Text]
2019
O'Sullivan, John and Sweeney, Conor and Parnell, Andrew C (2019) 'Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland'. Environmetrics, . [Full-Text]
2019
McGivney, BA and Hernandez, B and Katz, LM and MacHugh, DE and McGovern, SP and Parnell, AC and Wiencko, HL and Hill, EW (2019) 'A genomic prediction model for racecourse starts in the Thoroughbred horse'. 50 (4):347-357. [Full-Text]
2019
Daly, Patrick and Sieh, Kerry and Seng, Tai Yew and McKinnon, Edmund Edwards and Parnell, Andrew C and Feener, R Michael and Ismail, Nazli and Majewski, Jedrzej and others (2019) 'Archaeological evidence that a late 14th-century tsunami devastated the coast of northern Sumatra and redirected history'. 116 (24):11679-11686. [Full-Text]
2019
Bahadori M.; Chen C.; Lewis S.; Rezaei Rashti M.; Cook F.; Parnell A.; Esfandbod M.; Boyd S. (2019) 'A novel approach of combining isotopic and geochemical signatures to differentiate the sources of sediments and particulate nutrients from different land uses'. Science of the Total Environment, 655 :129-140. [DOI][Full-Text]
2019
Farries G.; Gough K.; Parnell A.; McGivney B.; McGivney C.; McGettigan P.; MacHugh D.; Katz L.; Hill E. (2019) 'Analysis of genetic variation contributing to measured speed in Thoroughbreds identifies genomic regions involved in the transcriptional response to exercise'. Animal Genetics, 50 (6):670-685. [DOI][Full-Text]
2019
Soh, Wuu Kuang and Yiotis, Charilaos and Murray, Michelle and Parnell, Andrew and Wright, Ian J and Spicer, Robert A and Lawson, Tracy and Caballero, Rodrigo and McElwain, Jennifer C (2019) 'Rising CO2 drives divergence in water use efficiency of evergreen and deciduous plants'. 5 (12). [Full-Text]
2019
Ashe E.; Cahill N.; Hay C.; Khan N.; Kemp A.; Engelhart S.; Horton B.; Parnell A.; Kopp R. (2019) 'Statistical modeling of rates and trends in Holocene relative sea level'. QUATERNARY SCIENCE REVIEWS, 204 :58-77. [DOI][Full-Text]
2019
Howard, Emma and Meehan, Maria and Parnell, Andrew (2019) 'Quantifying participation in, and the effectiveness of, remediating assessment in a university mathematics module'. 44 (1):97-110. [Full-Text]
2018
Osman M.; Parnell A.; McCauley M. (2018) 'Effect of the Irish Civil War 1922-1923 on suicide rates in Ireland: A retrospective investigation of the archives of the registrar-general for Saorstát Éireann'. Epidemiology Biostatistics and Public Health, 15 (3). [DOI][Full-Text]
2018
Osman, Mugtaba and Parnell, Andrew C and McCauley, MacDara (2018) 'Effect of the Irish Civil War 1922-1923 on suicide rates in Ireland: a retrospective investigation of the archives of the registrar-general for Saorst\'at \'Eireann'. 15 (3). [Full-Text]
2018
Rafter, Pierce and Purfield, Deirdre C and Berry, Donagh P and Parnell, Andrew C and Gormley, I Claire and Kearney, J Francis and Coffey, Mike P and Carthy, Tara R (2018) 'Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data'. 96 (10):4112-4124. [Full-Text]
2018
Howard, Emma and Meehan, Maria and Parnell, Andrew (2018) 'Contrasting prediction methods for early warning systems at undergraduate level'. 37 :66-75. [Full-Text]
2018
Howard, Emma and Meehan, Maria and Parnell, Andrew (2018) 'Live lectures or online videos: students’ resource choices in a first-year university mathematics module'. 49 (4):530-553.
2018
Duffill Telsnig, Jessica I and Jennings, Simon and Mill, Aileen C and Walker, Nicola D and Parnell, Andrew C and Polunin, Nicholas VC (2018) 'Estimating contributions of pelagic and benthic pathways to consumer production in coupled marine food webs'. . [Full-Text]
2018
Franke, Peter M and Huntley, Brian and Parnell, Andrew C (2018) 'Frequency selection in paleoclimate time series: A model-based approach incorporating possible time uncertainty'. . [Full-Text]
2018
Mc Ardle, A and Tonry, C and Fan, Y and Inzitari, R and Rooney, R and Brian, B and Parnell, A and Finn, S and Pennington, S (2018) 'Identification and evaluation of serum protein biomarkers for organ confined prostate cancer'. 17 (2).
2018
Sweeney, James and Salter-Townshend, Michael and Edwards, Tamsin and Buck, Caitlin E and Parnell, Andrew C (2018) 'Statistical challenges in estimating past climate changes'. . [Full-Text]
2018
Wolbach, Wendy S and Ballard, Joanne P and Mayewski, Paul A and Parnell, Andrew C and Cahill, Niamh and Adedeji, Victor and Bunch, Ted E and Dom\'\inguez-V\'azquez, Gabriela and Erlandson, Jon M and Firestone, Richard B and others (2018) 'Extraordinary biomass-burning episode and impact winter triggered by the Younger Dryas cosmic impact~ 12,800 years ago. 2. Lake, marine, and terrestrial sediments'. 126 (2):185-205. [Full-Text]
2017
Kemp A.; Hill T.; Vane C.; Cahill N.; Orton P.; Talke S.; Parnell A.; Sanborn K.; Hartig E. (2017) 'Relative sea-level trends in New York City during the past 1500 years'. Holocene, 27 (8):1169-1186. [DOI][Full-Text]
2017
Soh, WK and Wright, IJ and Bacon, KL and Lenz, TI and Steinthorsdottir, Margret and Parnell, AC and McElwain, JC (2017) 'A new paleo-leaf economic proxy reveals a shift in ecosystem function in response to global warming at the onset of the Triassic period'. 3 .
2017
Kemp, Andrew C and Hill, Troy D and Vane, Christopher H and Cahill, Niamh and Orton, Philip M and Talke, Stefan A and Parnell, Andrew C and Sanborn, Kelsey and Hartig, Ellen K (2017) 'Relative sea-level trends in New York City during the past 1500 years'. 27 (8):1169-1186. [Full-Text]
2017
Mcmahon, Barry J and Purvis, Gordon and Sheridan, Helen and Siriwardena, Gavin M and Parnell, Andrew C (2017) 'A novel method for quantifying overdispersion in count data and its application to farmland birds'. 159 (2):406-414. [Full-Text]
2017
Soh, WK and Wright, IJ and Bacon, KL and Lenz, TI and Steinthorsdottir, Margret and Parnell, AC and McElwain, JC (2017) 'Palaeo leaf economics reveal a shift in ecosystem function associated with the end-Triassic mass extinction event'. 3 (8). [Full-Text]
2017
Clowry, J and Sheridan, J and Healy, R and Deady, S and Keegan, D and Byrne, K and Cullen, G and Mulcahy, H and Comber, H and Parnell, AC and others (2017) 'Increased non-melanoma skin cancer risk in young patients with inflammatory bowel disease on immunomodulatory therapy: a retrospective single-centre cohort study'. 31 (6):978-985. [Full-Text]
2017
Dura, Tina and Horton, Benjamin P and Cisternas, Marco and Ely, Lisa L and Hong, Isabel and Nelson, Alan R and Wesson, Robert L and Pilarczyk, Jessica E and Parnell, Andrew C and Nikitina, Daria (2017) 'Subduction zone slip variability during the last millennium, south-central Chile'. 175 :112-137. [Full-Text]
2017
Hoffman, Jeremy S and Clark, Peter U and Parnell, Andrew C and He, Feng (2017) 'Regional and global sea-surface temperatures during the last interglaciation'. 355 (6322):276-279. [Full-Text]
2017
Hegarty, Avril and Stanley, Gerry and Kashdan, Eugene and Hodgson, Jim and Parnell, Andrew C (2017) 'Repeatability analysis of airborne electromagnetic surveys'. 7 (1). [Full-Text]
2017
Soh, WK and Wright, IJ and Bacon, KL and Lenz, TI and Steinthorsdottir, M and Parnell, AC and McElwain, JC (2017) 'Corrigendum: Palaeo leaf economics reveal a shift in ecosystem function associated with the end-Triassic mass extinction event'. 3 :17126-17126. [Full-Text]
2017
McParland, Damien and Baron, Szymon and O'Rourke, Sarah, Dowling, Denis and Ahearne, Eamonn and Parnell, Andrew C (2017) 'Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models'. :1-12. [Full-Text]
2017
Rubin, Charles M and Horton, Benjamin P and Sieh, Kerry and Pilarczyk, Jessica E and Daly, Patrick and Ismail, Nazli and Parnell, Andrew C (2017) 'Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami'. 8 . [Full-Text]
2017
Hernandez, Belinda and Raftery, Adrian E and Pennington, Stephen R. and Parnell, Andrew C. (2017) 'Bayesian Additive Regression Trees using Bayesian model averaging'. :1-22. [Full-Text]
2017
Wright, Alexander J and Edwards, Robin J and van de Plassche, Orson and Blaauw, Maarten and Parnell, Andrew C and van der Borg, Klaas and de Jong, Arie FM and Roe, Helen M and Selby, Katherine and Black, Stuart (2017) 'Reconstructing the accumulation history of a saltmarsh sediment core: Which age-depth model is best?'. 39 :35-67. [Full-Text]
2017
Osman, Mugtaba and Parnell, Andrew C and Haley, Clifford (2017) '“Suicide shall cease to be a crime”: suicide and undetermined death trends 1970--2000 before and after the decriminalization of suicide in Ireland 1993'. 186 (1):201-205. [Full-Text]
2016
Parnell, Andrew C (2016) 'Discussion Paper: A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty'. 27 (7):431-433. [Full-Text]
2016
Cahill N.; Kemp A.; Horton B.; Parnell A. (2016) 'A Bayesian hierarchical model for reconstructing relative sea level: From raw data to rates of change'. Climate of the Past, 12 (2):525-542. [DOI][Full-Text]
2016
Parnell, Andrew C and Haslett, John and Sweeney, James and Doan, Thinh K and Allen, Judy RM and Huntley, Brian (2016) 'Joint palaeoclimate reconstruction from pollen data via forward models and climate histories'. 151 :111-126. [Full-Text]
2016
Clancy, Colm and O’Sullivan, John and Sweeney, Conor and Dias, Fr\'ed\'eric and Parnell, Andrew C (2016) 'Spatial Bayesian hierarchical modelling of extreme sea states'. 107 :1-13. [Full-Text]
2016
Rue-Albrecht, K\'evin and McGettigan, Paul A and Hern\'andez, Belinda and Nalpas, Nicolas C and Magee, David A and Parnell, Andrew C and Gordon, Stephen V and MacHugh, David E (2016) 'GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data'. 17 (1).
2016
Parnell, Andrew C (2016) 'A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty'. 27 (7):431-433. [Full-Text]
2015
Osman, Mugtaba and Parnell, Andrew C (2015) 'Effect of the First World War on suicide rates in Ireland: an investigation of the 1864--1921 suicide trends'. 1 (2):164-165.
2015
Cahill N.; Kemp A.; Horton B.; Parnell A. (2015) 'Modeling sea-level change using errors-in-variables integrated gaussian processes'. Annals of Applied Statistics, 9 (2):547-571. [DOI][Full-Text]
2015
Kemp A.; Hawkes A.; Donnelly J.; Vane C.; Horton B.; Hill T.; Anisfeld S.; Parnell A.; Cahill N. (2015) 'Relative sea-level change in Connecticut (USA) during the last 2200 yrs'. Earth and Planetary Sciences Letters, 428 :217-229. [DOI][Full-Text]
2015
Brain, MJ; Kemp, AC; Horton, BP; Culver, SJ; Parnell, AC; Cahill, N (2015) 'Quantifying the contribution of sediment compaction to late Holocene salt-marsh sea-level reconstructions, North Carolina, USA'. Quaternary Research, 83 :41-51. [DOI][Full-Text]
2015
Parnell, Andrew C and Sweeney, James and Doan, Thinh K and Salter-Townshend, Michael and Allen, Judy RM and Huntley, Brian and Haslett, John (2015) 'Bayesian inference for palaeoclimate with time uncertainty and stochastic volatility'. 64 (1):115-138. [Full-Text]
2015
Hern\'andez, Belinda and Pennington, Stephen R and Parnell, Andrew C (2015) 'Bayesian methods for proteomic biomarker development'. 9 :54-64.
2015
Kemp, Andrew C and Hawkes, Andrea D and Donnelly, Jeffrey P and Vane, Christopher H and Horton, Benjamin P and Hill, Troy D and Anisfeld, Shimon C and Parnell, Andrew C and Cahill, Niamh (2015) 'Relative sea-level change in Connecticut (USA) during the last 2200 yrs'. 428 :217-229. [Full-Text]
2015
Doan, Thinh K. and Haslett, J and Parnell, A.C. (2015) 'Joint inference of misaligned irregular time series with application to Greenland ice core data'. 1 (1):15-27.
2015
Cahill, N and Kemp, AC and Horton, BP and Parnell, AC (2015) 'A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change'. 11 :4851-4893. [Full-Text]
2015
Cahill N.; Rahmstorf S.; Parnell A. (2015) 'Change points of global temperature'. Environmental Research Letters, 10 (8). [DOI][Full-Text]
2014
O'Connell, C and Parnell, A and Hannan, M and Keogh, B and O'Callaghan, D (2014) 'C40 PIERCING THE DARK: ILLUMINATING THE CLINICAL AND BIOLOGICAL CHARACTERISTICS OF LUNG CANCER: Early Diagnostic Yield Of Mycobacterial Testing In Patients At Risk Of Lung Cancer'. 189 .
2014
De Vleeschouwer, David and Parnell, Andrew C (2014) 'Reducing time-scale uncertainty for the Devonian by integrating astrochronology and Bayesian statistics'. 42 (6):491-494.
2014
Phillips, Donald L and Inger, Richard and Bearhop, Stuart and Jackson, Andrew L and Moore, Jonathan W and Parnell, Andrew C and Semmens, Brice X and Ward, Eric J (2014) 'Best practices for use of stable isotope mixing models in food-web studies'. 92 (10):823-835.
2014
Kemp A.; Bernhardt C.; Horton B.; Kopp R.; Vane C.; Peltier W.; Hawkes A.; Donnelly J.; Parnell A.; Cahill N. (2014) 'Late Holocene sea- and land-level change on the U.S. southeastern Atlantic coast'. Marine Geology, 357 :90-100. [DOI][Full-Text]
2014
O'Connell, C and Parnell, A and Hannan, M and Keogh, B and O'Callaghan, DS (2014) '70 Early diagnostic yield of mycobacterial testing in patients at risk of lung cancer'. 83 .
2014
Hern\'andez, Belinda and Parnell, Andrew and Pennington, Stephen R (2014) 'Why have so few proteomic biomarkers “survived” validation?(Sample size and independent validation considerations)'. 14 (13-14):1587-1592. [Full-Text]
2013
Kemp A.; Horton B.; Vane C.; Bernhardt C.; Corbett D.; Engelhart S.; Anisfeld S.; Parnell A.; Cahill N. (2013) 'Sea-level change during the last 2500 years in New Jersey, USA'. QUATERNARY SCIENCE REVIEWS, 81 :90-104. [DOI][Full-Text]
2013
Semmens, Brice X and Ward, Eric J and Parnell, Andrew C and Phillips, Donald L and Bearhop, Stuart and Inger, Richard and Jackson, Andrew and Moore, Jonathan W (2013) 'Statistical basis and outputs of stable isotope mixing models: comment on Fry (2013)'. 490 :285-289.
2013
Parnell, Andrew C and Phillips, Donald L and Bearhop, Stuart and Semmens, Brice X and Ward, Eric J and Moore, Jonathan W and Jackson, Andrew L and Grey, Jonathan and Kelly, David J and Inger, Richard (2013) 'Bayesian stable isotope mixing models'. 24 (6):387-399.
2013
Franco-Trecu, Valentina and Drago, Massimiliano and Riet-Sapriza, Federico G and Parnell, Andrew and Frau, Rosina and Inchausti, Pablo (2013) 'Bias in diet determination: incorporating traditional methods in Bayesian mixing models'. 8 (11). [Full-Text]
2013
Semmens, B and Stock, B and Ward, Eric and Moore, Jonathan W and Parnell, Andrew and Jackson, Andrew L and Phillips, Donald L and Bearhop, Stuart and Inger, Richard (2013) 'MixSIAR: A Bayesian stable isotope mixing model for characterizing intrapopulation niche variation'. :04-09.
2012
Viana, Mafalda and Jackson, Andrew L and Graham, Norman and Parnell, Andrew C (2012) 'Disentangling spatio-temporal processes in a hierarchical system: a case study in fisheries discards'. . [Full-Text]
2012
Brain, Matthew J and Long, Antony J and Woodroffe, Sarah A and Petley, David N and Milledge, David G and Parnell, Andrew C (2012) 'Modelling the effects of sediment compaction on salt marsh reconstructions of recent sea-level rise'. 345 :180-193. [Full-Text]
2011
Jackson, Andrew L and Inger, Richard and Parnell, Andrew C and Bearhop, Stuart (2011) 'Comparing isotopic niche widths among and within communities: SIBER--Stable Isotope Bayesian Ellipses in R'. 80 (3):595-602. [Full-Text]
2011
Parnell, Andrew C and Buck, Caitlin E and Doan, Thinh K (2011) 'A review of statistical chronology models for high-resolution, proxy-based Holocene palaeoenvironmental reconstruction'. 30 (21-22):2948-2960. [Full-Text]
2010
Inger, Richard and McDonald, Robbie A and Rogowski, David and Jackson, Andrew L and Parnell, Andrew and Jane Preston, S and Harrod, Chris and Goodwin, Claire and Griffiths, David and Dick, Jaimie TA and others (2010) 'Do non-native invasive fish support elevated lamprey populations?'. 47 (1):121-129. [Full-Text]
2010
Parnell, Andrew C and Inger, Richard and Bearhop, Stuart and Jackson, Andrew L (2010) 'Source partitioning using stable isotopes: coping with too much variation'. 5 (3).
2009
Kemp, Andrew C and Horton, Benjamin P and Culver, Stephen J and Corbett, D Reide and van de Plassche, Orson and Gehrels, W Roland and Douglas, Bruce C and Parnell, Andrew C (2009) 'Timing and magnitude of recent accelerated sea-level rise (North Carolina, United States)'. 37 (11):1035-1038.
2008
Haslett, John and Parnell, Andrew (2008) 'A simple monotone process with application to radiocarbon-dated depth chronologies'. 57 (4):399-418. [Full-Text]
2008
Parnell, Andrew C and Haslett, John and Allen, Judy RM and Buck, Caitlin E and Huntley, Brian (2008) 'A flexible approach to assessing synchroneity of past events using Bayesian reconstructions of sedimentation history'. 27 (19-20):1872-1885. [Full-Text]
2008
Haslett, John and Parnell, Andrew (2008) 'Comment on article by Blackwell and Buck'. 3 (2):249-254.
Book Chapter
Year
Publication
2015
Parnell, Andrew C and Gehrels, W Roland (2015) 'Using chronological models in late Holocene sea-level reconstructions from salt marsh sediments' In: Handbook of Sea-Level Research. Narnia : Wiley.
2013
L. Staunton, T. Clancy, C. Tonry, S. Ademowo, M. Dharsee, B. Hernandez, K. Evans, Parnell A, R.W. Watson, S.R. Pennington (2013) 'Protein Quantification by MRM for Biomarker Validation' In: : Royal Society of Chemistry.
Conference Publication
Year
Publication
2022
Lemos dos Santos, A.A., Parnell, A., Moral, R.A., Sarti, D. (2022) 42nd Conference on Applied Statistics in Ireland Bayesian Additive Main Effects and Multiplicative Interaction with Time
2022
Sarti, D.A., dos Santos, A.A., Moral, R.A., Parnell, A. (2022) Mendel Genetics Conference 2022 Computational Simulation of Genomics, Phenomics and Environmental Correlated Variables Using Machine Learning
2020
Doyle A.C.; Egan D.S.; Ryan C.M.; Parnell A.C.; Dowling D.P. (2020) Procedia Manufacturing Application of the STRAY statistical learning algorithm for the evaluation of in-situ process monitoring data during L-PBF additive manufacturing[DOI][Full-Text]
2018
Copeland, Cillian and Howard, Emma and Meehan, Maria and Parnell, Andrew (2018) INDRUM 2018 Engaging with feedback: How do students remediate errors on their weekly quiz
2017
Sieh, K and Daly, P and Tai, YS and McKinnon, EE and Feener, RM and Parnell, AC and Ismail, N (2017) AGU Fall Meeting Abstracts Interaction of Geohazards and Settlements through the Past Millennium, Banda Aceh, Indonesia
2017
Howard, Emma and Meehan, Maria and Parnell, Andrew (2017) CERME 10 Identifying the reasons behind students’ engagement patterns[Full-Text]
2017
Horton, B and Rubin, CM and Sieh, K and Jessica, P and Daly, P and Ismail, N and Parnell, AC (2017) AGU Fall Meeting Abstracts Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami
2016
Khan, N and Horton, B and Ashe, E and Kopp, RE and Austermann, J and Baranskaya, A and Barlow, N and Bentley, M and Bradley, SL and Carlson, AE and others (2016) AGU Fall Meeting Abstracts A global synthesis of Holocene sea-level data to determine its rates, mechanisms and geographic variability
2015
Hoffman, JS and Clark, PU and He, F and Parnell, AC (2015) AGU Fall Meeting Abstracts Reconstructing Variations of Global Sea-Surface Temperature during the Last Interglaciation
2015
Cahill, N and Kemp, A and Horton, B and Parnell, AC (2015) AGU Fall Meeting Abstracts A Bayesian Hierarchical Model for Reconstructing Sea Level from the Common Era: From Raw Data to Rates of Change
2014
Cahill, N and Parnell, AC and Kemp, A and Horton, B (2014) AGU Fall Meeting Abstracts Accounting for Multiple Sources of Uncertainty in the Statistical Analysis of Holocene Sea Levels
2014
Cahill, Niamh and Parnell, Andrew and Kemp, Andrew and Horton, Benjamin (2014) EGU General Assembly Conference Abstracts Bayesian Statistical Analysis of Historical and Late Holocene Rates of Sea-Level Change
2013
Cahill, N and Parnell, AC and Horton, B and Kemp, A (2013) AGU Fall Meeting Abstracts Statistical modelling of sea level rates ensuring the appropriate inclusion of uncertainties
2011
Brain, MJ and Long, AJ and Woodroffe, S and Petley, DN and Parnell, AC (2011) AGU Fall Meeting Abstracts Compression of low energy intertidal sediments: controls, effects and solutions
2011
Parnell, AC and Haslett, J and Sweeney, J and Buck, CE and Doan, TK and Huntley, B and Allen, JR (2011) AGU Fall Meeting Abstracts Bayesian Palaeoclimate Reconstruction with Marginal Mixture Posteriors and Predictive Processes
2009
Parnell, AC and Haslett, J and Salter-Townshend, M and Huntley, B and Allen, JRM (2009) EGU General Assembly 2009, held 19-24 April, 2009 in Vienna, Austria http://meetings. copernicus. org/egu2009, p. 785 Quantifying uncertainty in palaeoclimate reconstructions
2006
Haslett, John and Parnell, Andrew and Salter-Townsend, M (2006) Proceedings of the 21st International Workshop on Statistical Modelling Modelling temporal uncertainty in palaeoclimate reconstructions
2003
PARNELL, Andrew C (2003) XVI INQUA Congress STATISTICAL RECONSTRUCTIONS OF FORMER SEA-LEVEL AROUND THE HUMBER ESTUARY, UK
Conference Contribution
Year
Publication
2019
Niamh Cahill, Andrew Parnell, Michael Salter-Townshend (2019) Bayesian Statistical Analysis Methods for Paleoclimate Data INQUA Conference Dublin, Ireland, .
2019
Gerard McCarthy, Robin Edwards, Niamh Cahill, Andrew Parnell (2019) Geoscience for Climate Action Sea Level Rise in Ireland Dublin, .
Computer Program
Year
Publication
2020
Alan Inglis, Andrew Parnell and Catherine Hurley (2020) vivid: Variable Importance and Variable Interaction Displays. [Computer Program]
Magazine Article
Year
Publication
2022
Waddington, J; Zhou, R; Coleman, O; Wundervald, B; Parnell, A; Mease, PJ; Chandran, V; Fallon, L; Chapman, D; Pollock, R; Deng, S; Fitzgerald, O; Pennington, S (2022) MASS SPECTROMETRY-BASED PROTEOMICS FOR THE IDENTIFICATION OF CANDIDATE SERUM PROTEIN BIOMARKERS THAT MAY PREDICT TREATMENT RESPONSE IN PATIENTS WITH PSORIATIC ARTHRITIS. LONDON: [Magazine Article] [DOI]
2022
Waddington, JC; Zhou, R; Coleman, O; Wundervald, B; Parnell, A; Chandran, V; Fallon, L; Chapman, D; Pollock, R; Deng, S; FitzGerald, O; Pennington, SR; Mease, PJ (2022) Evaluation of Candidate Protein Biomarkers to Predict Treatment Response in Patients with Psoriatic Arthritis. HOBOKEN: [Magazine Article]
Reviews
Year
Publication
2020
Hernández A.; Martin-Puertas C.; Moffa-Sánchez P.; Moreno-Chamarro E.; Ortega P.; Blockley S.; Cobb K.M.; Comas-Bru L.; Giralt S.; Goosse H.; Luterbacher J.; Martrat B.; Muscheler R.; Parnell A.; Pla-Rabes S.; Sjolte J.; Scaife A.A.; Swingedouw D.; Wise E.; Xu G. (2020) Modes of climate variability: Synthesis and review of proxy-based reconstructions through the Holocene. [Reviews] [DOI][Full-Text]
Technical Publication
Year
Publication
2018
Huang, Yuanzhi and Ahearne, Eamonn and Baron, Szymon and Parnell, Andrew (2018) An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process. [Technical Publication]
2018
Haslett, John and Parnell, Andrew and Sweeney, James (2018) A general framework for modelling zero inflation. [Technical Publication] [Full-Text]
2016
Howard, E and Meehan, M and Parnell, A (2016) Developing accurate early warning systems via data analytics. [Technical Publication]
2016
Howard, Emma and Meehan, Maria and Parnell, Andrew (2016) Contrasting Prediction Methods for Early Warning Systems at Undergraduate Level. [Technical Publication]
2014
Doan, Thinh K and Parnell, Andrew C and Haslett, John (2014) Simulation-free Bayesian Analysis for Temporally Misaligned Data with Application to Ice Cores. [Technical Publication]
2014
Parnell, Andrew C and Graham, Norman and Jackson, Andrew L and Viana, Mafalda (2014) Frequency behaviour for multinomial counts of fisheries discards via a nested wavelet zero and N inflated binomial model. [Technical Publication]
2014
Sweeney, James and Haslett, John and Parnell, Andrew C (2014) The zero \& $ N $-inflated binomial distribution with applications. [Technical Publication]
Other Publication
Year
Publication
2023
Zhang, M.; Parnell, A. (2023) Review of Clustering Methods for Functional Data.[Link][DOI]
2018
Stock, Brian C and Jackson, Andrew L and Ward, Eric J and Parnell, Andrew C and Phillips, Donald L and Semmens, Brice X (2018) Analyzing mixing systems using a new generation of Bayesian tracer mixing models.
