Prediction with Missing Data via Bayesian Additive Regression Trees

3 June 2013

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

8 / 8 papers shown

Title
Prediction Models That Learn to Avoid Missing Values Lena Stempfle Anton Matsson Newton Mwai Fredrik D. Johansson 40 0 0 06 May 2025
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values O. Lenz Daniel Peralta Chris Cornelis 21 0 0 04 Oct 2022
Extraction of Visual Information to Predict Crowdfunding Success Simon J. Blanchard Theodore J. Noseworthy E. Pancer Maxwell Poole 9 9 0 28 Mar 2022
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 51 33 0 21 Sep 2021
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning Liangyuan Hu Jung-Yi Joyce Lin Jiayi Ji CML 30 12 0 06 Apr 2021
Supervised learning for the prediction of firm dynamics Falco J. Bargagli-Stoffi J. Niederreiter M. Riccaboni 14 17 0 11 Sep 2020
Crowdsourcing Predictors of Residential Electric Energy Usage Mark D. Wagy Josh Bongard James P. Bagrow P. Hines 10 13 0 08 Sep 2017
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 177 4,222 0 04 May 2011