Titlebook: Statistics in the Public Interest; In Memory of Stephen Alicia L. Carriquiry,Judith M. Tanur,William F. Ed Book 2022 The Editor(s) (if appl

Basal-Ganglia

幻影

Determinantal Priors for Variable Selectionst to traditional beta-binomial model priors which assign equal prior weight to subset models of the same size, determinantal priors automatically downweight unwanted multicollinear subset models, thereby reducing posterior entropy and highlighting the more promising submodels.

事与愿违

记忆

Prediction for Categorical Data Most of this work focuses on questions related to inference. A problem that has received less attention is prediction. In this paper we review two methods for prediction of categorical data. However, our goal is not point prediction, but set-valued prediction as we explain in Sect. 1.2.

ironic

Capture-Recapture for Casualty Estimation and Beyond: Recent Advances and Research Directionsis common to attempt to create tallies of victims. However, destroyed infrastructure and institutions, danger to field workers, and a reasonable suspicion of data collection by victim communities limit the result of these efforts to incomplete and non-representative lists. Capture-Recapture (CR) est

有特色

Chronological

熟练

Determinantal Priors for Variable Selectionn, such priors encourage diversity within selected subsets through the introduction of a kernel matrix that determines which variables are similar and therefore less likely to appear together. We demonstrate the usefulness of such priors in the context of spike-and-slab variable selection. In contra

ADORN

Pathogen