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bartMachine: Machine Learning with Bayesian Additive Regression Trees

8 December 2013

Papers citing "bartMachine: Machine Learning with Bayesian Additive Regression Trees"

33 / 33 papers shown

Title
Bayesian Hybrid Machine Learning of Gallstone Risk Chitradipa Chakraborty Nayana Mukherjee 24 0 0 17 Jun 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization Toby Boyne Jose Pablo Folch Robert M. Lee B. Shafei Ruth Misener GP 140 2 0 07 Mar 2025
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression Jiahao Cao Shiyuan He Bohai Zhang 73 2 0 24 Feb 2025
Very fast Bayesian Additive Regression Trees on GPU Giacomo Petrillo 71 0 0 30 Oct 2024
What is to be gained by ensemble models in analysis of spectroscopic data? Katarina Domijan 73 2 0 02 Apr 2024
Co-data Learning for Bayesian Additive Regression Trees Jeroen M. Goedhart Thomas Klausch Jurriaan Janssen M. A. van de Wiel 41 1 0 16 Nov 2023
Sharded Bayesian Additive Regression Trees Hengrui Luo M. Pratola 64 6 0 01 Jun 2023
Bayesian CART models for insurance claims frequency Yaojun Zhang L. Ji Georgios Aivaliotis Charles Taylor 39 4 0 03 Mar 2023
SoftBart: Soft Bayesian Additive Regression Trees A. Linero 77 2 0 28 Oct 2022
Visualizations for Bayesian Additive Regression Trees Alan N. Inglis Andrew C. Parnell Cathrine Hurley 31 5 0 18 Aug 2022
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes M. Maia Keefe Murphy Andrew C. Parnell 67 13 0 05 Apr 2022
Extraction of Visual Information to Predict Crowdfunding Success Simon J. Blanchard Theodore J. Noseworthy E. Pancer Maxwell Poole 43 10 0 28 Mar 2022
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy A. Linero 79 10 0 20 Feb 2022
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients A. Izdebski P. Thoral R. Lalisang Dean McHugh D. Gommers ... Rutger van Raalte M. V. Tellingen Niels C. Gritters van den Oever Paul Elbers Giovanni Cina CML 48 0 0 14 Sep 2021
Adaptive network reliability analysis: Methodology and applications to power grid Nariman L. Dehghani Soroush Zamanian A. Shafieezadeh 80 35 0 11 Sep 2021
Accounting for shared covariates in semi-parametric Bayesian additive regression trees E. Prado Andrew C. Parnell Keefe Murphy Nathan McJames Ann O'Shea R. Moral 59 2 0 17 Aug 2021
BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R Chuji Luo M. Daniels 20 1 0 28 Jun 2021
Machine learning in the social and health sciences A. Leist Matthias Klee Jung Hyun Kim D. Rehkopf Stéphane P. A. Bordas Graciela Muniz-Terrera Sara Wade AI4CE 127 4 0 20 Jun 2021
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature Pan Zeng Md. Fazla Elahe Jun Xu Min Jin 22 2 0 23 Mar 2021
Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study Zhiyuan Wei Sayanti Mukherjee 26 12 0 08 Sep 2020
Individualized Prediction of COVID-19 Adverse outcomes with MLHO Hossein Estiri Z. Strasser S. Murphy 87 35 0 10 Aug 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 174 195 0 11 Jun 2020
A Survey of Bayesian Statistical Approaches for Big Data Farzana Jahan Insha Ullah Kerrie Mengersen 102 14 0 08 Jun 2020
BART-based inference for Poisson processes Stamatina Lamprinakou Mauricio Barahona Seth Flaxman Sarah Filippi Axel Gandy E. McCoy 47 6 0 16 May 2020
A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records Alexis Bellot M. Schaar 27 1 0 19 Dec 2019
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis Jie Zhu B. Gallego CML 91 29 0 20 Oct 2019
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach Falco J. Bargagli-Stoffi Kristof De-Witte G. Gnecco 90 15 0 29 May 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 76 46 0 01 Mar 2019
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 102 111 0 01 Oct 2018
Bayesian quantile additive regression trees B. Kindo Hao Wang T. Hanson Edsel A. Peña 70 5 0 10 Jul 2016
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 121 22 0 06 May 2016
Bayesian Additive Regression Trees using Bayesian Model Averaging B. Hernández A. Raftery S. Pennington Andrew C. Parnell 84 63 0 01 Jul 2015
Prediction with Missing Data via Bayesian Additive Regression Trees A. Kapelner J. Bleich 128 78 0 03 Jun 2013