activity
20152020
collaborators

5 papers

stat.ME2020

A primer on coupled state-switching models for multiple interacting time series

Jennifer Pohle, Roland Langrock, Mihaela van der Schaar +2

State-switching models such as hidden Markov models or Markov-switching regression models are routinely applied to analyse sequences of observations that are driven by underlying n…

stat.ME2019

Parameter clustering in Bayesian functional PCA of fMRI data

Nicolo' Margaritella, Vanda Inacio, Ruth King

The extraordinary advancements in neuroscientific technology for brain recordings over the last decades have led to increasingly complex spatio-temporal datasets. To reduce oversim…

stat.ME2018

Estimating abundance from multiple sampling capture-recapture data via a multi-state multi-period stopover model

Hannah Worthington, Rachel McCrea, Ruth King +1

The collection of capture-recapture data often involves collecting data on numerous capture occasions over a relatively short period of time. For many study species this process is…

stat.AP2017

Estimation of population size when capture probability depends on individual states

Hannah Worthington, Rachel S. McCrea, Ruth King +1

We develop a multi-state model to estimate the size of a closed population from ecological capture-recapture studies. We consider the case where capture-recapture data are not of a…

stat.AP2015

Semi-Markov Arnason-Schwarz models

Ruth King, Roland Langrock

We consider multi-state capture-recapture-recovery data where observed individuals are recorded in a set of possible discrete states. Traditionally, the Arnason-Schwarz model has b…