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A method for combining inference across related nonparametric Bayesian models
(WILEY, 2004)
We consider the problem of combining inference in related nonparametric Bayes models. Analogous to parametric hierarchical models, the hierarchical extension formalizes borrowing strength across the related submodels. In ...
BAYESIAN SEMIPARAMETRIC INFERENCE FOR MULTIVARIATE DOUBLY-INTERVAL-CENSORED DATA
(INST MATHEMATICAL STATISTICS, 2010)
Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates. This involves an analysis ...
Bayesian clustering and product partition models
(BLACKWELL PUBL LTD, 2003)
We present a decision theoretic formulation of product partition models (PPMs) that allows a formal treatment of different decision problems such as estimation or hypothesis testing and clustering methods simultaneously. ...
Nonparametric Bayesian assessment of the order of dependence for binary sequences
(AMER STATISTICAL ASSOC, 2004)
This article discusses inference on the order of dependence in binary sequences. The proposed approach is based on the notion of partial exchangeability of order k. A partially exchangeable binary sequence of order k can ...
On the Support of MacEachern's Dependent Dirichlet Processes and Extensions
(INT SOC BAYESIAN ANALYSIS, 2012)
We study the support properties of Dirichlet process-based models for sets of predictor-dependent probability distributions. Exploiting the connection between copulas and stochastic processes, we provide an alternative ...
The Semi-Hierarchical Dirichlet Process and Its Application to Clustering Homogeneous Distributions
(INT SOC BAYESIAN ANALYSIS, 2021)
Assessing homogeneity of distributions is an old problem that has received considerable attention, especially in the nonparametric Bayesian literature. To this effect, we propose the semi-hierarchical Dirichlet process, a ...
Semiparametric Bayesian inference for multilevel repeated measurement data
(WILEY, 2007)
We discuss inference for data with repeated measurements at multiple levels. The motivating example is data with blood counts from cancer patients undergoing multiple cycles of chemotherapy, with days nested within cycles. ...
Some issues in nonparametric Bayesian modelling using species sampling models
(SAGE PUBLICATIONS LTD, 2008)
We review some aspects of nonparametric Bayesian data analysis with discrete random probability measures. We focus on the class of species sampling models (SSMs). We critically investigate the common use of the Dirichlet ...