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20072022
most citedEmbedding Population Dynamics Models in Inference

111 citations · 130 across the 6 of their papers we have counts for

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5 papers · 1 filter

stat.ME2022★ 1 cited

Accommodating false positives within acoustic spatial capture-recapture, with variable source levels, noisy bearings and an inhomogeneous spatial density

Felix T Petersma, Len Thomas, Aaron M Thode +4

Passive acoustic monitoring is a promising method for surveying wildlife populations that are easier to detect acoustically than visually. When animal vocalisations can be uniquely…

stat.ME2020

Varying-coefficient stochastic differential equations with applications in ecology

Théo Michelot, Richard Glennie, Catriona Harris +1

Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology. They provide a mechanistic…

stat.ME2020★ 15 cited

A guide to state-space modeling of ecological time series

Marie Auger-Méthé, Ken Newman, Diana Cole +8

State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal…

stat.ME2011

The Importance of Prior Choice in Model Selection: a Density Dependence Example

James D. Lawrence, Dr. Robert B. Gramacy, Dr. Len Thomas +1

We perform a Bayesian analysis on abundance data for ten species of North American duck, using the results to investigate the evidence in favour of biologically motivated hypothese…

stat.ME2007★ 111 cited

Embedding Population Dynamics Models in Inference

Stephen T. Buckland, Ken B. Newman, Carmen Fernández +2

Increasing pressures on the environment are generating an ever-increasing need to manage animal and plant populations sustainably, and to protect and rebuild endangered populations…