465 citations · 1k across the 12 of their papers we have counts for
12 papers
Bootstrapping multiple systems estimates to account for model selection
Bernard W. Silverman, Lax Chan, Kyle Vincent
Multiple systems estimation using a Poisson loglinear model is a standard approach to quantifying hidden populations where data sources are based on lists of known cases. Informati…
The vote Package: Single Transferable Vote and Other Electoral Systems in R
Adrian E. Raftery, Hana Ševčíková, Bernard W. Silverman
We describe the vote package in R, which implements the plurality (or first-past-the-post), two-round runoff, score, approval and single transferable vote (STV) electoral systems,…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
Model fitting in Multiple Systems Analysis for the quantification of Modern Slavery: Classical and Bayesian approaches
Bernard W. Silverman
Multiple systems estimation is a key approach for quantifying hidden populations such as the number of victims of modern slavery. The UK Government published an estimate of 10,000…
Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists
Lax Chan, Bernard W. Silverman, Kyle Vincent
Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and…
Julian Ernst Besag, 26 March 1945 -- 6 August 2010, a biographical memoir
Peter J. Diggle, Peter J. Green, Bernard W. Silverman
Julian Besag was an outstanding statistical scientist, distinguished for his pioneering work on the statistical theory and analysis of spatial processes, especially conditional lat…