1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
Matthew R. Schofield, Richard J. Barker, Andrew Gelman +2
Quantifying long-term historical climate is fundamental to understanding recent climate change. Most instrumentally recorded climate data are only available for the past 200 years,…
Posterior model probabilities computed from model-specific Gibbs output
Richard J. Barker, William A. Link
Reversible jump Markov chain Monte Carlo (RJMCMC) extends ordinary MCMC methods for use in Bayesian multimodel inference. We show that RJMCMC can be implemented as Gibbs sampling w…
Full Open Population Capture-Recapture Models with Individual Covariates
Matthew R. Schofield, Richard J. Barker
Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how…
Hierarchical Modeling of Abundance in Closed Population Capture-Recapture Models Under Heterogeneity
Matthew R. Schofield, Richard J. Barker
Hierarchical modeling of abundance in space or time using closed-population mark-recapture under heterogeneity (model M) presents two challenges: (i) finding a flexible likel…