In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss
the fundamental models for regression and classification and also their training with the …

Understanding the parameter estimation of softmax gating Gaussian mixture of experts has
remained a long-standing open problem in the literature. It is mainly due to three …

This volume is, in a sense, the culmination of over 20 years of statistical work and over 15
years of personal interactions. One of us, Fienberg, was exposed to the ideas of the Grade of …

Classical approaches to assessing dietary intake are associated with measurement error. In
an effort to address inherent measurement error in dietary self-reported data there is …

This chapter focuses on delineating the mixture of experts modelling framework and
demonstrates the utility and flexibility of mixture of expert's models as an analytic tool. It …

Abstract Model-based clustering typically involves the development of a family of mixture
models and the imposition of these models upon data. The best member of the family is then …

Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with
Bayesian model selection, is a systematic approach to determining the number of essential …

Supplement to “Causal inference from observational studies with clustered interference, with
application to a cholera vaccine study”. This document contains: a short discussion on …

The elicitation of an ordinal judgment on multiple alternatives is often required in many
psychological and behavioral experiments to investigate preference/choice orientation of a …

Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers Page 1 Statistical
Science 2022, Vol. 37, No. 1, 1–23 https://doi.org/10.1214/20-STS818 © Institute of Mathematical …