Byron J. T. Morgan

University of Kent — United Kingdom

Environmental Science · Physical Sciences

48h-index9.7kcitations310works2.32yr avg
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Research Topics

Wildlife Ecology and Conservation(68), Ecology and Vegetation Dynamics Studies(33), Avian ecology and behavior(33), Statistical Methods and Bayesian Inference(33), Species Distribution and Climate Change(29)

Publications310 total

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)·2025
Incorporating Phenology to Estimate Species’ Population Trends from Snapshot Citizen-Science Data
Journal of Agricultural Biological and Environmental Statistics·2024· 1 citedOpen Access
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)·2024· 6 citedOpen Access
Fast Bayesian Inference for Large Occupancy Datasets
Biometrics·2022· 5 citedOpen Access
Selecting age structure in integrated population models
Ecological Modelling·2022· 3 citedOpen Access
<scp>rGAI</scp>: An R package for fitting the generalized abundance index to seasonal count data
Ecology and Evolution·2022· 4 citedOpen Access
M. Schaub and M. Kéry: Integrated Population Models Theory and Ecological Applications with R and JAGS, Academic Press, 2022
Journal of Agricultural Biological and Environmental Statistics·2022
State‐space models for ecological time‐series data: Practical model‐fitting
Methods in Ecology and Evolution·2022· 52 citedOpen Access
Author response for "State‐space Models for Ecological Time Series Data: Practical Model‐fitting"
2021
rGAI: An R package for fitting the generalised abundance index to seasonal count data
2021Open Access
Philip M. North 1949–2021
Journal of the Royal Statistical Society Series A (Statistics in Society)·2021
Fast Bayesian inference for large occupancy data sets, using the\n Polya-Gamma scheme
arXiv (Cornell University)·2021· 1 citedOpen Access
Fast Bayesian inference for large occupancy data sets, using the Polya-Gamma scheme
arXiv (Cornell University)·2021Open Access
Integrated modelling of insect population dynamics at two temporal scales
Ecological Modelling·2021· 11 cited
A Generic Method for Estimating and Smoothing Multispecies Biodiversity Indicators Using Intermittent Data
Journal of Agricultural Biological and Environmental Statistics·2020· 4 citedOpen Access
Review for "Uncovering ecological state dynamics with hidden Markov models"
2020Open Access
The score test for the two‐sample occupancy model
Australian & New Zealand Journal of Statistics·2020· 1 citedOpen Access
A general framework for modeling population abundance data
Biometrics·2019· 7 cited
Functional data analysis of multi-species abundance and occupancy data sets
Ecological Indicators·2019· 9 cited
Trends and indicators for quantifying moth abundance and occupancy in Scotland
Journal of Insect Conservation·2019· 72 citedOpen Access
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Frequent Co-authors

Stephen N. Freeman(11), E. A. Catchpole(9), Stephen P. Brooks(8), Olivier Giménez(8), Tim Coulson(7), Panagiotis Besbeas(7), Ruth King(7), Tim Clutton‐Brock(5), M. S. Ridout(4), Diana J. Cole(4), Len Thomas(4), Emily B. Dennis(4), Ken B. Newman(3), S. T. Buckland(3), Tom Brereton(3), Jean‐Dominique Lebreton(3), S. D. Albon(2), Gurutzeta Guillera‐Arroita(2), Giacomo Tavecchia(2), M. P. Harris(2)