Prediction with Missing Data via Bayesian Additive Regression Trees

v1v2v3 (latest)

Prediction with Missing Data via Bayesian Additive Regression Trees

3 June 2013

ArXiv (abs)PDF HTML

Papers citing "Prediction with Missing Data via Bayesian Additive Regression Trees"

12 / 12 papers shown

Title
Leveraging Predictive Equivalence in Decision Trees Hayden McTavish Zachery Boner J. Donnelly Margo Seltzer Cynthia Rudin 22 0 0 17 Jun 2025
Prediction Models That Learn to Avoid Missing Values Lena Stempfle Anton Matsson Newton Mwai Fredrik D. Johansson 193 0 0 06 May 2025
Regression with Variable Dimension Covariates Peter Mueller Fernando Andrés Quintana G. Page 80 0 0 25 Sep 2023
Imputation of missing values in multi-view data Wouter van Loon M. Fokkema Frank de Vos Marisa Koini Reinhold Schmidt M. Rooij 48 2 0 26 Oct 2022
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values O. Lenz Daniel Peralta Chris Cornelis 51 0 0 04 Oct 2022
Local Gaussian process extrapolation for BART models with applications to causal inference Meijia Wang Jingyu He P. R. Hahn 113 11 0 23 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
Supervised learning for the prediction of firm dynamics Falco J. Bargagli-Stoffi J. Niederreiter M. Riccaboni 45 17 0 11 Sep 2020
Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs Florian Huber Gary Koop Luca Onorante Michael Pfarrhofer Josef Schreiner 74 84 0 28 Aug 2020
On the consistency of supervised learning with missing values Julie Josse Jacob M. Chen Nicolas Prost Erwan Scornet Gaël Varoquaux 119 115 0 19 Feb 2019
Crowdsourcing Predictors of Residential Electric Energy Usage Mark D. Wagy Josh Bongard James P. Bagrow P. Hines 44 13 0 08 Sep 2017
bartMachine: Machine Learning with Bayesian Additive Regression Trees A. Kapelner J. Bleich 99 321 0 08 Dec 2013