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  1. Queen Mary University of London
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Publications: DR Eleni Matechou

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Jones M, Matechou E, Cole D, Diana A, Griffin J, Peixoto S, Handley LL, Buxton A ( 2025 ) . More than presence-absence; modelling (e)DNA concentration across time and space from qPCR survey data . Journal of Statistical Theory and Practice vol. 19 , ( 4 ) Article 68 ,
Rotous I, Diana A, Matechou E ( 2025 ) . A Pólya Tree modelling framework for batch-mark data . The Annals of Applied Statistics vol. 19 , ( 2 )
Pringle S, Dallimer M, Goddard MA, Le Goff LK, Hart E, Langdale SJ, Fisher JC, Abad S-A et al. ( 2025 ) . Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age . Nature Ecology & Evolution vol. 9 , ( 6 ) 1031 - 1042 .
Dennis EB, Diana A, Matechou E, Morgan BJT ( 2025 ) . Authors’ reply to the Discussion of ‘Efficient statistical inference methods for assessing changes in species’ populations using citizen science data’ at the ‘Discussion meeting on the analysis of citizen science data’ . Journal of the Royal Statistical Society Series A: Statistics in Society vol. 188 , ( 3 ) 722 - 727 .
Matechou E, Liu I, Fernández D, Farias M, Gjelsvik B ( 2025 ) . Biclustering Models for Two-Mode Ordinal Data . Psychometrika vol. 81 , ( 3 ) 611 - 624 .
Buchanan R, Wieckowski P, Matechou E, Katzer F, Tsaousis AD, Farré M ( 2025 ) . Global prevalence of Cryptosporidium infections in cattle: A meta-analysis . Current Research in Parasitology & Vector-Borne Diseases vol. 7 , Article 100264 , 100264 - 100264 .
Diana A, Matechou E, Griffin J, Yu DW, Luo M, Tosa M, Bush A, Griffiths RA ( 2024 ) . eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring . Journal of the American Statistical Association vol. 120 , ( 549 ) 120 - 134 .
Santos B, Mussino E, Drefahl S, Matechou E ( 2024 ) . Using population register data and capture-recapture models to estimate over-coverage in Sweden . Scientific Reports vol. 14 , ( 1 ) Article 30551 ,
Ketwaroo FR, Matechou E, Silk M, Delahay R ( 2024 ) . Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data . Environmetrics vol. 36 , ( 1 ) Article e2888 ,
Ketwaroo FR, Matechou E, Biddle R, Tollington S, Da Silva ML ( 2024 ) . Models with observation error and temporary emigration for count data . The Annals of Applied Statistics vol. 18 , ( 4 )
Dennis EB, Diana A, Matechou E, Morgan BJT ( 2024 ) . Efficient statistical inference methods for assessing changes in species’ populations using citizen science data . Journal of the Royal Statistical Society Series A: Statistics in Society vol. 188 , ( 3 ) 641 - 657 .
Mussino E, Santos B, Monti A, Matechou E, Drefahl S ( 2023 ) . Multiple systems estimation for studying over-coverage and its heterogeneity in population registers . Quality & Quantity vol. 58 , ( 6 ) 5033 - 5056 .
Pheasey H, Griffiths R, Matechou E, Roberts D ( 2023 ) . Motivations and sensitivities surrounding the illegal trade of sea turtles in Costa Rica . Ecology and Society vol. 28 , ( 4 ) Article art15 ,
Diana A, Dennis EB, Matechou E, Morgan BJT ( 2022 ) . Fast Bayesian Inference for Large Occupancy Datasets . Biometrics vol. 79 , ( 3 ) 2503 - 2515 .
Diana A, Matechou E, Griffin JE, Jhala Y, Qureshi Q ( 2022 ) . A vector of point processes for modeling interactions between and within species using capture‐recapture data . Environmetrics vol. 33 , ( 8 ) Article e2781 ,
Matechou E, Argiento R ( 2022 ) . Capture-Recapture Models with Heterogeneous Temporary Emigration . Journal of the American Statistical Association vol. 118 , ( 541 ) 56 - 69 .
Diana A, Matechou E, Griffin J, Arnold T, Tenan S, Volponi S ( 2022 ) . A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior . Biometrics vol. 79 , ( 3 ) 2171 - 2183 .
Johnston A, Matechou E, Dennis EB ( 2022 ) . Outstanding challenges and future directions for biodiversity monitoring using citizen science data . Methods in Ecology and Evolution vol. 14 , ( 1 ) 103 - 116 .
Buxton A, Diana A, Matechou E, Griffin J, Griffiths RA ( 2022 ) . Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale . Scientific Reports vol. 12 , ( 1 ) Article 1295 ,
Diana A, Matechou E, Griffin JE, Buxton AS, Griffiths RA ( 2021 ) . An RShiny app for modelling environmental DNA data: accounting for false positive and false negative observation error . Ecography vol. 44 , ( 12 ) 1838 - 1844 .
Buxton A, Matechou E, Griffin J, Diana A, Griffiths RA ( 2021 ) . Optimising sampling and analysis protocols in environmental DNA studies . Scientific Reports vol. 11 , ( 1 ) Article 11637 ,
Betts EL, Hoque S, Torbe L, Bailey JR, Ryan H, Toller K, Breakell V, Carpenter AI et al. ( 2021 ) . Parasites, Drugs and Captivity: Blastocystis-Microbiome Associations in Captive Water Voles . Biology vol. 10 , ( 6 ) 457 - 457 .
Pheasey H, Matechou E, Griffiths RA, Roberts DL ( 2021 ) . Trade of legal and illegal marine wildlife products in markets: integrating shopping list and survival analysis approaches . Animal Conservation vol. 24 , ( 4 ) 700 - 708 .
Wojczulanis-Jakubas K, Jiménez-Muñoz M, Jakubas D, Kidawa D, Karnovsky N, Cole D, Matechou E ( 2020 ) . Duration of female parental care and their survival in the little auk Alle alle - are these two traits linked? . Behavioral Ecology and Sociobiology vol. 74 , ( 7 ) Article 82 ,
Diana A, Matechou E, Griffin J, Johnston A ( 2020 ) . A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK . The Annals of Applied Statistics vol. 14 , ( 1 )
Griffin JE, Matechou E, Buxton AS, Bormpoudakis D, Griffiths RA ( 2019 ) . Modelling Environmental DNA Data; Bayesian Variable Selection Accounting for False Positive and False Negative Errors . Journal of the Royal Statistical Society Series C: Applied Statistics vol. 69 , ( 2 ) 377 - 392 .
Jiménez‐Muñoz M, Cole DJ, Freeman SN, Robinson RA, Baillie SR, Matechou E ( 2019 ) . Estimating age‐dependent survival from age‐aggregated ringing data—extending the use of historical records . Ecology and Evolution vol. 9 , ( 2 ) 769 - 779 .
Matechou E, Freeman SN, Comont R ( 2018 ) . Caste-Specific Demography and Phenology in Bumblebees: Modelling BeeWalk Data . Journal of Agricultural, Biological and Environmental Statistics vol. 23 , ( 4 ) 427 - 445 .
Zhou M, McCrea RS, Matechou E, Cole DJ, Griffiths RA ( 2018 ) . Removal Models Accounting for Temporary Emigration . Biometrics vol. 75 , ( 1 ) 24 - 35 .
Dormann CF, Calabrese JM, Guillera‐Arroita G, Matechou E, Bahn V, Bartoń K, Beale CM, Ciuti S et al. ( 2018 ) . Model averaging in ecology: a review of Bayesian, information‐theoretic, and tactical approaches for predictive inference . Ecological Monographs vol. 88 , ( 4 ) 485 - 504 .
Matechou E, Caron F ( 2017 ) . Modelling individual migration patterns using a Bayesian nonparametric approach for capture–recapture data . The Annals of Applied Statistics vol. 11 , ( 1 )
Matechou E, McCrea RS, Morgan BJT, Nash DJ, Griffiths RA ( 2016 ) . Open models for removal data . The Annals of Applied Statistics vol. 10 , ( 3 )
Matechou E, Nicholls GK, Morgan BJT, Collazo JA, Lyons JE ( 2016 ) . Bayesian analysis of Jolly-Seber type models . Environmental and Ecological Statistics vol. 23 , ( 4 ) 531 - 547 .
Matechou E, Cheng SC, Kidd LR, Garroway CJ ( 2015 ) . Reproductive consequences of the timing of seasonal movements in a nonmigratory wild bird population . Ecology vol. 96 , ( 6 ) 1641 - 1649 .
Matechou E, Dennis EB, Freeman SN, Brereton T ( 2014 ) . Monitoring abundance and phenology in (multivoltine) butterfly species: a novel mixture model . Journal of Applied Ecology vol. 51 , ( 3 ) 766 - 775 .
Matechou E, Pledger S, Efford M, Morgan BJT, Thomson DL ( 2013 ) . Estimating age‐specific survival when age is unknown: open population capture–recapture models with age structure and heterogeneity . Methods in Ecology and Evolution vol. 4 , ( 7 ) 654 - 664 .
Matechou E, Morgan BJT, Pledger S, Collazo JA, Lyons JE ( 2013 ) . Integrated Analysis of Capture–Recapture–Resighting Data and Counts of Unmarked Birds at Stop-Over Sites . Journal of Agricultural, Biological, and Environmental Statistics vol. 18 , ( 1 ) 120 - 135 .
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