Clustering and Prediction With Variable Dimension Covariates

DOI10.1080/10618600.2021.1999824OpenAlexW3214152746MaRDI QIDQ5084445

Peter Mueller, Garritt L. Page, Fernando A. Quintana

Publication date: 24 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.13119

zbMATH Keywords

Bayesian nonparametricsdependent random partition modelsindicator-missingpattern missing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials

Uses Software

• R
• MICE
• mi
• bartMachine
• missForest
• BartPy

Cites Work

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• Calibrating covariate informed product partition models
• BART: Bayesian additive regression trees
• École d'été de probabilités de Saint-Flour XIII - 1983
• Multivariate adaptive regression splines
• Discovering interactions using covariate informed random partition models
• Indicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression
• Prediction and Inference With Missing Data in Patient Alert Systems
• Cluster‐Specific Variable Selection for Product Partition Models
• Missing Data in Longitudinal Studies
• Generating missing values for simulation purposes: a multivariate amputation procedure
• Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
• A nonparametric Bayesian basket trial design
• Prediction with missing data via Bayesian Additive Regression Trees
• Cluster and feature modeling from combinatorial stochastic processes
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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