research
∙
05/15/2022
Large Data and (Not Even Very) Complex Ecological Models: When Worlds Collide
We consider the challenges that arise when fitting complex ecological mo...
share
research
∙
03/25/2022
A Point Mass Proposal Method for Bayesian State-Space Model Fitting
State-space models (SSMs) are often used to model time series data where...
research
∙
04/30/2020
A primer on coupled state-switching models for multiple interacting time series
State-switching models such as hidden Markov models or Markov-switching ...
research
∙
02/21/2020
Continuous-time multi-state capture-recapture models
Multi-state capture-recapture data comprise individual-specific sighting...
research
∙
04/26/2019
Parameter clustering in Bayesian functional PCA of fMRI data
The extraordinary advancements in neuroscientific technology for brain r...
research
∙
02/26/2019
Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models
In fitting log-linear models to contingency table data, the presence of ...
research
∙
10/24/2018
