BART with targeted smoothing: an analysis of patient-specific stillbirth risk

DOI10.1214/19-AOAS1268zbMath1439.62228arXiv1805.07656OpenAlexW3016729721MaRDI QIDQ2179940

James G. Scott, Jared S. Murray, Jennifer E. Starling, Radek K. Bukowski, Carlos Marinho Carvalho

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.07656

zbMATH Keywords

regularizationGaussian processregression treeBayesian additive regression treeensemble method

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Reliability and life testing (62N05)

Related Items

Bayesian additive regression trees in spatial data analysis with sparse observations, BART with targeted smoothing: an analysis of patient-specific stillbirth risk, Adaptive Bayesian Sum of Trees Model for Covariate-Dependent Spectral Analysis, GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes, Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles, Bayesian survival tree ensembles with submodel shrinkage, Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution, Targeted smooth Bayesian causal forests: an analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation, Bayesian additive regression trees with model trees, tsbart, Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models, Landmark-Warped Emulators for Models with Misaligned Functional Response

Uses Software

• R
• BART-BMA
• BartPy

Cites Work

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• BART: Bayesian additive regression trees
• Level crossings and other level functionals of stationary Gaussian processes
• Bayesian backfitting. (With comments and a rejoinder).
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Bayesian additive regression trees using Bayesian model averaging
• Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion)
• BART with targeted smoothing: an analysis of patient-specific stillbirth risk
• Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
• Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity
• Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
• Bayesian Analysis of Binary and Polychotomous Response Data
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)