Regression with variable dimension covariates

DOI10.1007/s13171-023-00329-3MaRDI QIDQ6648797

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

Publication date: 5 December 2024

Published in: Sankhyā. Series A (Search for Journal in Brave)

zbMATH Keywords

partitionclusteringmissing datadensity regression

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• A Bayesian analysis of some nonparametric problems
• Introduction to Information Retrieval
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• A conditional model for incomplete covariates in parametric regression models
• Product Partition Models for Normal Means
• Bayesian Clustering and Product Partition Models
• Local Linear Forests
• Adaptive Bayesian SLOPE: Model Selection With Incomplete Data
• Clustering and Prediction With Variable Dimension Covariates
• Prediction with missing data via Bayesian Additive Regression Trees
• Dirichlet–Laplace Priors for Optimal Shrinkage
• Fundamentals of Nonparametric Bayesian Inference

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