3 papers
stat.ME2025
Logistic regression models: practical induced prior specification
Ken B. Newman, Cristiano Villa, Ruth King
Bayesian inference for statistical models with a hierarchical structure is often characterized by specification of priors for parameters at different levels of the hierarchy. When…
stat.CO2025
Grid Particle Gibbs with Ancestor Sampling for State-Space Models
Mary Llewellyn, Ruth King, Víctor Elvira +1
We consider the challenge of estimating the model parameters and latent states of general state-space models within a Bayesian framework. We extend the commonly applied particle Gi…
stat.ME2017
Efficient sequential Monte Carlo algorithms for integrated population models
Axel Finke, Ruth King, Alexandros Beskos +1
State-space models are commonly used to describe different forms of ecological data. We consider the case of count data with observation errors. For such data the system process is…