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Byron J. T. Morgan

Byron J. T. Morgan

D-Index & Metrics

Mathematics

D-Index
52
Citations
10185
World Ranking
965
National Ranking
72

Overview

Byron J. T. Morgan is affiliated with the University of Kent in the United Kingdom. Their research primarily spans Environmental Science with a particular focus on subfields including Ecological Modeling, Ecology, Nature and Landscape Conservation, Artificial Intelligence, and Economics and Econometrics.

Their work extensively covers topics such as Species Distribution and Climate Change, Ecology and Vegetation Dynamics Studies, Wildlife Ecology and Conservation, Economic and Environmental Valuation, Plant and Animal Studies, Remote Sensing in Agriculture, and Bayesian Modeling and Causal Inference.

Recent publications by Byron J. T. Morgan include:

  • State-space models for ecological time-series data: Practical model-fitting, 2022, Methods in Ecology and Evolution
  • Integrated modelling of insect population dynamics at two temporal scales, 2021, Ecological Modelling
  • Efficient statistical inference methods for assessing changes in species' populations using citizen science data, 2024, Journal of the Royal Statistical Society Series A (Statistics in Society)
  • Fast Bayesian Inference for Large Occupancy Datasets, 2022, Biometrics
  • A Generic Method for Estimating and Smoothing Multispecies Biodiversity Indicators Using Intermittent Data, 2020, Journal of Agricultural Biological and Environmental Statistics

Frequent publication venues for Morgan's research are:

  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • Journal of Agricultural Biological and Environmental Statistics
  • Ecological Modelling
  • arXiv (Cornell University)
  • Methods in Ecology and Evolution

Collaborations have been a notable aspect of Morgan's scholarly activities. Frequent co-authors include:

  • Emily B. Dennis
  • Alex Diana
  • Eleni Matechou
  • Rachel S. McCrea
  • Panagiotis Besbeas

Best Publications

  • Elements of Simulation

    Byron J.T. Morgan

  • Analysis of Quantal Response Data

    Byron J. T. Morgan

  • Integrating Mark–Recapture–Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters

    Panagiotis Besbeas;Stephen N. Freeman;Byron J. T. Morgan;Edward A. Catchpole

  • Optimization Using Simulated Annealing

    Stephen P. Brooks;Byron J. T. Morgan

  • Bayesian Analysis for Population Ecology

    Ruth King;Byron J. T. Morgan;Olivier Gimenez;Stephen P. Brooks

  • Design of occupancy studies with imperfect detection

    Gurutzeta Guillera-Arroita;Martin S. Ridout;Byron J. T. Morgan

  • Detecting parameter redundancy

    Edward A. Catchpole;Byron J. T. Morgan

  • A Bayesian approach to combining animal abundance and demographic data

    S. P. Brooks;Ruth King;B. J. T. Morgan

  • Applied Stochastic Modelling

    Byron J.T. Morgan

  • Bayesian Animal Survival Estimation

    Stephen P. Brooks;Edward A. Catchpole;Byron J. T. Morgan

  • VISUALIZING INTERACTION AND SEQUENTIAL DATA IN ANIMAL BEHAVIOUR: THEORY AND APPLICATION OF CLUSTER-ANALYSIS METHODS

    B. J. T. Morgan;M. J. A. Simpson;Jeannette P. Hanby;Joan Hall-Craggs

  • Analysis of Capture-Recapture Data

    Rachel S. McCrea;Byron J. T. Morgan

  • Some aspects of ROC curve-fitting: Normal and logistic models

    D.R Grey;B.J.T Morgan

  • Factors influencing Soay sheep survival

    Edward A. Catchpole;Byron J. T. Morgan;Tim Coulson;Stephen N. Freeman

  • Integrated recovery/recapture data analysis

    Edward A. Catchpole;Stephen N. Freeman;Byron J. T. Morgan;Michael P. Harris

  • Sexual dimorphism, survival and dispersal in red deer

    E. A. Catchpole;Y. Fan;B. J. T. Morgan;T. H. Clutton-Brock

  • Modelling Population Dynamics

    K. B. Newman;S. T. Buckland;B. J. T. Morgan;R. King

  • Non-uniqueness and Inversions in Cluster Analysis

    Byron J. T. Morgan;Andrew P. G. Ray

  • Computational aspects of N-mixture models

    Emily B. Dennis;Byron J.T. Morgan;Martin S. Ridout

  • The efficient integration of abundance and demographic data

    Panagiotis Besbeas;Jean-Dominique Lebreton;Byron J. T. Morgan

  • Diffusion and Ecological Problems: Mathematical Models.

    Byron J. T. Morgan;A. Okubo

Frequent Co-Authors

Stephen T. Buckland
Stephen T. Buckland University of St Andrews
Len Thomas
Len Thomas University of St Andrews
Ian T. Jolliffe
Ian T. Jolliffe University of Exeter
Mick F. Tuite
Mick F. Tuite University of Kent
William J. Gullick
William J. Gullick University of Kent
Lloyd W. Ruddock
Lloyd W. Ruddock University of Oulu
Frances M. D. Gulland
Frances M. D. Gulland University of California, Davis
David J. Hand
David J. Hand Imperial College London
Bryan T. Grenfell
Bryan T. Grenfell Princeton University
D. M. Titterington
D. M. Titterington University of Glasgow

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