Preprints
Filtering by Subject: Survival Analysis
Efficient Bayesian implementations of capture-recapture models with Stan
Published: 2026-04-02
Subjects: Applied Statistics, Biostatistics, Ecology and Evolutionary Biology, Life Sciences, Population Biology, Statistical Methodology, Statistical Models, Statistics and Probability, Survival Analysis
Capture-recapture (CR) methods are a mainstay of ecological statistics for estimating demographic parameters and population sizes in animal populations. The advent of Bayesian methods made complex hierarchical formulations accessible to practitioners, largely relying on conditional likelihood formulations with latent discrete parameters. However, modern gradient-based MCMC methods that are the [...]
An integrated population modelling workflow for supporting mesopredator management
Published: 2024-08-01
Subjects: Applied Statistics, Biodiversity, Biostatistics, Ecology and Evolutionary Biology, Longitudinal Data Analysis and Time Series, Natural Resources and Conservation, Population Biology, Statistical Methodology, Statistical Models, Survival Analysis, Terrestrial and Aquatic Ecology, Zoology
Expanding populations of mesopredators threaten biodiversity and human health in many ecosystems across the world. Lethal control through harvest is commonly implemented as a mitigation measure, yet its effects on mesopredator population dynamics in interaction with compensatory mechanisms and environmental conditions has rarely been assessed quantitatively due to data constraints. Recent [...]
Multi-population analysis reveals spatial consistency in drivers of population dynamics of a declining migratory bird
Published: 2022-04-21
Subjects: Biodiversity, Biology, Biostatistics, Ecology and Evolutionary Biology, Life Sciences, Longitudinal Data Analysis and Time Series, Physical Sciences and Mathematics, Population Biology, Research Methods in Life Sciences, Statistical Methodology, Statistical Models, Statistics and Probability, Survival Analysis, Terrestrial and Aquatic Ecology
Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets. We capitalized [...]