| Optimising sampling and analysis protocols in environmental DNA studies A Buxton, E Matechou, J Griffin, A Diana, RA Griffiths Scientific Reports 11 (1), 11637, 2021 | 55 | 2021 |
| Measuring protected-area effectiveness using vertebrate distributions from leech iDNA Y Ji, CCM Baker, VD Popescu, J Wang, C Wu, Z Wang, Y Li, L Wang, ... Nature Communications 13 (1), 1555, 2022 | 34 | 2022 |
| An RShiny app for modelling environmental DNA data: accounting for false positive and false negative observation error A Diana, E Matechou, JE Griffin, AS Buxton, RA Griffiths Ecography 44 (12), 1838-1844, 2021 | 26 | 2021 |
| Machine-Learning Methods for Insurance Applications-A Survey A Diana, JE Griffin, JS Oberoi, J Yao Society of Actuaries, 2019 | 18 | 2019 |
| A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK A Diana, E Matechou, J Griffin, A Johnston The Annals of Applied Statistics 14 (1), 473-493, 2020 | 15 | 2020 |
| eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring A Diana, E Matechou, J Griffin, DW Yu, M Luo, M Tosa, A Bush, ... Journal of the American Statistical Association, 1-23, 2024 | 11 | 2024 |
| Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale A Buxton, A Diana, E Matechou, J Griffin, RA Griffiths Scientific Reports 12 (1), 1295, 2022 | 10 | 2022 |
| Parasites, Drugs and Captivity: Blastocystis-Microbiome Associations in Captive Water Voles EL Betts, S Hoque, L Torbe, JR Bailey, H Ryan, K Toller, V Breakell, ... Biology 10 (6), 457, 2021 | 7 | 2021 |
| Optimising sampling and analysis protocols in environmental DNA studies. Sci Rep 11: 11637 A Buxton, E Matechou, J Griffin, A Diana, RA Griffiths | 7 | 2021 |
| A vector of point processes for modeling interactions between and within species using capture‐recapture data A Diana, E Matechou, JE Griffin, Y Jhala, Q Qureshi Environmetrics 33 (8), e2781, 2022 | 5 | 2022 |
| Fast Bayesian inference for large occupancy datasets A Diana, EB Dennis, E Matechou, BJT Morgan Biometrics 79 (3), 2503-2515, 2023 | 4 | 2023 |
| Fast Bayesian inference for large occupancy data sets, using the Polya-Gamma scheme A Diana, E Dennis, E Matechou, B Morgan arXiv preprint arXiv:2107.14656, 2021 | 4 | 2021 |
| A Polya tree based model for unmarked individuals in an open wildlife population A Diana, J Griffin, E Matechou Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 …, 2019 | 4 | 2019 |
| Efficient statistical inference methods for assessing changes in species’ populations using citizen science data EB Dennis, A Diana, E Matechou, BJT Morgan Journal of the Royal Statistical Society Series A: Statistics in Society …, 2024 | 2 | 2024 |
| A general modeling framework for open wildlife populations based on the Polya tree prior A Diana, E Matechou, J Griffin, T Arnold, S Tenan, S Volponi Biometrics 79 (3), 2171-2183, 2023 | 2 | 2023 |
| Measuring protected-area outcomes with leech iDNA: large-scale quantification of vertebrate biodiversity in Ailaoshan nature reserve CC Baker, Y Ji, VD Popescu, J Wang, C Wu, Z Wang, Y Li, L Wang, C Hua, ... | 2 | 2020 |
| A Unified Bayesian Framework for Mortality Model Selection A Diana, JWS Tze, A Pittea arXiv preprint arXiv:2411.19176, 2024 | | 2024 |
| Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters I Rotous, A Diana, A Farcomeni, E Matechou, A Thiebault arXiv preprint arXiv:2407.10869, 2024 | | 2024 |
| Optimising sampling and analysis protocols in environmental DNA studies-R Code AS Buxton, E Matechou, J Griffin, A Diana, RA Griffiths Nature Publishing Group, 2021 | | 2021 |
| Bayesian Nonparametric Models for Modelling Ecological Data and Stochastic Processes for Modelling Species Interactions A Diana PQDT-UK & Ireland, 2020 | | 2020 |