The how and why of Bayesian nonparametric causal inference (Q6601995)

scientific article; zbMATH DE number 7910628

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English	The how and why of Bayesian nonparametric causal inference	scientific article; zbMATH DE number 7910628

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instance of

scholarly article

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title

The how and why of Bayesian nonparametric causal inference (English)

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Wiley Interdisciplinary Reviews. WIREs Computational Statistics

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publication date

11 September 2024

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zbMATH Keywords

decision trees

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Gaussian processes

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mediation analysis

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mixture models

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nonparametrics

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MaRDI profile type

Publication

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cites work

Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies

0 references

Bayesian Analysis of Binary and Polychotomous Response Data

0 references

Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties

0 references

High-dimensional confounding adjustment using continuous Spike and Slab priors

0 references

Gaussian Predictive Process Models for Large Spatial Data Sets

0 references

Doubly Robust Estimation in Missing Data and Causal Inference Models

0 references

Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)

0 references

Inference on Treatment Effects after Selection among High-Dimensional Controls

0 references

The Augmented Synthetic Control Method

0 references

Dirichlet–Laplace Priors for Optimal Shrinkage

0 references

A nonparametric Bayesian methodology for regression discontinuity designs

0 references

Bagging predictors

0 references

Random forests

0 references

Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs

0 references

Bayesian multivariate mixed-scale density estimation

0 references

The horseshoe estimator for sparse signals

0 references

Model averaged double robust estimation

0 references

Double/debiased machine learning for treatment and structural parameters

0 references

BART: Bayesian additive regression trees

0 references

Fixed Rank Kriging for Very Large Spatial Data Sets

0 references

Automated versus do-it-yourself methods for causal inference: lessons learned from a data analysis competition

0 references

Q4318617

0 references

Bayesian Density Estimation and Inference Using Mixtures

0 references

Robust inference on average treatment effects with possibly more covariates than observations

0 references

Greedy function approximation: A gradient boosting machine.

0 references

Fundamentals of Nonparametric Bayesian Inference

0 references

Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective

0 references

Regularization and confounding in linear regression for treatment effect estimation

0 references

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

0 references

Stochastic Tree Ensembles for Regularized Nonlinear Regression

0 references

Regression discontinuity designs: a guide to practice

0 references

Gibbs Sampling Methods for Stick-Breaking Priors

0 references

Spike and slab variable selection: frequentist and Bayesian strategies

0 references

Empirical Bayes selection of wavelet thresholds

0 references

Slice sampling mixture models

0 references

A general framework for Vecchia approximations of Gaussian processes

0 references

A framework for Bayesian nonparametric inference for causal effects of mediation

0 references

Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection

0 references

Simulation‐based estimators of analytically intractable causal effects

0 references

Bayesian survival tree ensembles with submodel shrinkage

0 references

Semiparametric mixed‐scale models using shared Bayesian forests

0 references

Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity

0 references

Bayesian Variable Selection in Linear Regression

0 references

Bayesian curve fitting using multivariate normal mixtures

0 references

Bayesian nonparametric data analysis

0 references

Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models

0 references

Bayesian Gaussian Copula Factor Models for Mixed Data

0 references

Slice sampling. (With discussions and rejoinder)

0 references

Q3172405

0 references

A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter

0 references

Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

0 references

Heteroscedastic BART via Multiplicative Regression Trees

0 references

Q3394879

0 references

Semiparametric Bayesian causal inference

0 references

Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs

0 references

Introducing Monte Carlo Methods with R

0 references

A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

0 references

Posterior concentration for Bayesian regression trees and forests

0 references

Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

0 references

A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference

0 references

Q4839399

0 references

Adaptive Bayesian multivariate density estimation with Dirichlet mixtures

0 references

Q4864293

0 references

Q5406030

0 references

Q2934021

0 references

Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models

0 references

Bayesian Effect Estimation Accounting for Adjustment Uncertainty

0 references

Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression

0 references

A Bayesian nonparametric approach to causal inference on quantiles

0 references

Minimax-optimal nonparametric regression in high dimensions

0 references

Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets

0 references

Penalized Spline of Propensity Methods for Treatment Comparison

0 references

Model Feedback in Bayesian Propensity Score Estimation

0 references

Identifiers

zbMATH Open document ID

1544.62094

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DOI

10.1002/wics.1583

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Mathematics Subject Classification ID

62-08

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zbMATH DE Number

7910628

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Sitelinks

Mathematics(1 entry)

mardi Publication:6601995