20 citations · 20 across the 5 of their papers we have counts for
5 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,…
Connecting the latent multinomial
Matthew R. Schofield, Simon J. Bonner
Link et al. (2010) define a general framework for analyzing capture-recapture data with potential misidentifications. In this framework, the observed vector of counts, , is cons…
Extending the Latent Multinomial Model with Complex Error Processes and Dynamic Markov Bases
Simon J Bonner, Matthew R Schofield, Patrik Noren +1
The latent multinomial model (LMM) model of Link et al. (2010) provided a general framework for modelling mark-recapture data with potential errors in identification. Key to this a…
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…