Publications

Full list of publications on my Google Scholar profile.

Recent publications (last 3 years) below

Jones, M., Matechou, E., Cole, D. J., Diana, A., Griffin, J. E., Peixoto, S., Lawson Handley, L., & 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.

Buchanan, R., Wieckowski, P., Matechou, E., Katzer, F., Tsaousis, A. D., & Farré, M. (2025). Global prevalence of Cryptosporidium infections in cattle: A meta-analysis. Current Research in Parasitology & Vector-Borne Diseases, 100264.

Dennis, E. B., Diana, A., Matechou, E., & Morgan, B. J. T. (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, 188(3), 722–727.

Dennis, E. B., Diana, A., & Matechou, E., & Morgan, B. J. T. (2025). 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, 188(3), 641–657.

Diana, A., Matechou, E., Griffin, J., Yu, D. W., Luo, M., Tosa, M., Bush, A., & Griffiths, R. A. (2025). ednaplus: A unifying modeling framework for DNA-based biodiversity monitoring. Journal of the American Statistical Association, 120(549), 120–134.

Ketwaroo, F. R., Matechou, E., Silk, M., & Delahay, R. (2025). Modeling disease dynamics from spatially explicit capture-recapture data. Environmetrics, 36(1), e2888.

Pheasey, H., Griffiths, R., Matechou, E., & Roberts, D. (2025). Motivations and sensitivities surrounding the illegal trade of sea turtles in Costa Rica. Ecology and Society.

Pringle, S., Dallimer, M., Goddard, M. A., Le Goff, L. K., Hart, E., Langdale, S. J., Fisher, J. C., Abad, S.-A., Ancrenaz, M., Angeoletto, F., et al. (2025). Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age. Nature Ecology & Evolution, 1–12.

Rotous, I., Diana, A., & Matechou, E. (2025). A Pólya Tree modelling framework for batch-mark data. The Annals of Applied Statistics, 19(2), 1110–1126.

Ketwaroo, F. R., Matechou, E., Biddle, R., Tollington, S., & Da Silva, M. L. (2024). Models with observation error and temporary emigration for count data. The Annals of Applied Statistics, 18(4), 2909–2927.

Mussino, E., Santos, B., Monti, A., Matechou, E., & Drefahl, S. (2024). Multiple systems estimation for studying over-coverage and its heterogeneity in population registers. Quality & Quantity, 58(6), 5033–5056.

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, 14(1), 30551.

Johnston, A., Matechou, E., & Dennis, E. B. (2023). Outstanding challenges and future directions for biodiversity monitoring using citizen science data. Methods in Ecology and Evolution, 14(1), 103–116.

Diana, A., Matechou, E., Griffin, J., Arnold, T., Tenan, S., & Volponi, S. (2023). A general modeling framework for open wildlife populations based on the Polya tree prior. Biometrics, 79(3), 2171–2183.

Diana, A., Dennis, E. B., Matechou, E., & Morgan, B. J. T. (2023). Fast Bayesian inference for large occupancy datasets. Biometrics, 79(3), 2503–2515.

Matechou, E., & Argiento, R. (2023). Capture-recapture models with heterogeneous temporary emigration. Journal of the American Statistical Association, 118(541), 56–69.