Calibrating covariate informed product partition models
type: Item
instance of: scholarly article
published in: Statistics and Computing
volume: 28
issue: 5
page(s): 1009-1031
publication date: 2017-10-06T00:00:00Z
publication date: 2018-11-07T00:00:00Z
author: Garritt L. Page
author: Fernando A. Quintana
title: Calibrating covariate informed product partition models
zbMATH Open document ID: 1405.62123
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6974484
zbMATH Keywords: high-dimensional covariate space
zbMATH Keywords: prediction
zbMATH Keywords: covariate-based clustering
zbMATH Keywords: mixture of experts
zbMATH Keywords: random partition models
describes a project that uses: cluster (R)
describes a project that uses: shallot
describes a project that uses: R
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s11222-017-9777-z
OpenAlex ID: W2763619058
cites work: A Nonparametric Model for Stationary Time Series
cites work: A Bayesian nonparametric model for white blood cells in patients with lower urinary tract symptoms
cites work: On the support of MacEachern's dependent Dirichlet processes and extensions
cites work: Q5396687
cites work: Q3576727
cites work: Nonparametric Bayes Conditional Distribution Modeling With Variable Selection
cites work: Comment
cites work: An ANOVA Model for Dependent Random Measures
cites work: Kernel stick-breaking processes
cites work: A Predictive Approach to Model Selection
cites work: Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
cites work: Order-Based Dependent Dirichlet Processes
cites work: Bayesian Compressed Regression
cites work: Q5396663
cites work: Finite mixture models
cites work: Bayesian profile regression with an application to the National survey of children's health
cites work: Bayesian curve fitting using multivariate normal mixtures
cites work: Bayesian nonparametric data analysis
cites work: Classification via Bayesian Nonparametric Learning of Affine Subspaces
cites work: Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates
cites work: Spatial product partition models
cites work: Q3580592
cites work: Cluster‐Specific Variable Selection for Product Partition Models
cites work: Bayesian nonparametric functional data analysis through density estimation
cites work: Q2934021
cites work: Sliced Regression for Dimension Reduction
DOI: 10.1007/S11222-017-9777-Z
Recommended article: Product partition models with correlated parameters
Recommended article: Statistical modelling using product partition models
Recommended article: Q3580592
Recommended article: Random partition models with regression on covariates
Recommended article: Cluster‐Specific Variable Selection for Product Partition Models
Recommended article: Discovering interactions using covariate informed random partition models
Recommended article: Bayesian Clustering and Product Partition Models
Recommended article: Product partition models for change point problems
Recommended article: Bayesian Value-at-Risk with product partition models
description: scientific article; zbMATH DE number 6974484