Bayesian graphical modeling for heterogeneous causal effects (Q6629904)

scientific article; zbMATH DE number 7936120

Language	Label	Description	Also known as
English	Bayesian graphical modeling for heterogeneous causal effects	scientific article; zbMATH DE number 7936120

Statements

instance of

scholarly article

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title

Bayesian graphical modeling for heterogeneous causal effects (English)

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Statistics in Medicine

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publication date

30 October 2024

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zbMATH Keywords

directed acyclic graph

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Dirichlet process mixture

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personalized treatment

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subject-specific graph

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tumor heterogeneity

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Bayesian nonparametric inference -- why and how

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Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models

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Sampling the Dirichlet Mixture Model with Slices

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Recursive partitioning for heterogeneous causal effects

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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion)

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Bayesian inference of causal effects from observational data in Gaussian graphical models

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Bayesian causal inference in probit graphical models

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Bayesian Inference of Multiple Gaussian Graphical Models

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Bayesian learning of multiple directed networks from observational data

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Bayesian Graphical Regression

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Sparse covariance estimation in heterogeneous samples

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Bayesian sparse graphical models and their mixtures

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Heterogeneous reciprocal graphical models

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Robust graphical modeling of gene networks using classical and alternative \(t\)-distributions

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Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions

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Hierarchical normalized completely random measures for robust graphical modeling

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Causal Inference Using Potential Outcomes

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A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation

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Invariance, causality and robustness

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Q5149045

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Parameter priors for directed acyclic graphical models and the characterization of several probability distributions

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Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

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Identifiability of Gaussian structural equation models with equal error variances

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Bayesian Density Estimation and Inference Using Mixtures

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Selecting the precision parameter prior in Dirichlet process mixture models

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Bayesian cluster analysis: point estimation and credible balls (with discussion)

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Bayesian cluster analysis

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Comparing clusterings -- an information based distance

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Modeling with normalized random measure mixture models

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Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables

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Causal inference with a graphical hierarchy of interventions

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Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

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Identifiers

zbMATH Open document ID

1547.62169

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DOI

10.1002/sim.9599

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Mathematics Subject Classification ID

62P10

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zbMATH DE Number

7936120

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Sitelinks

Mathematics(1 entry)

mardi Publication:6629904