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Prediction with Missing Data via Bayesian Additive Regression Trees
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Prediction with Missing Data via Bayesian Additive Regression Trees

A. Kapelner
J. Bleich
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Leveraging Predictive Equivalence in Decision Trees
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
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
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
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
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
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
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
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
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
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
Crowdsourcing Predictors of Residential Electric Energy Usage
Mark D. Wagy
Josh Bongard
James P. Bagrow
P. Hines
46
13
0
08 Sep 2017
bartMachine: Machine Learning with Bayesian Additive Regression Trees
bartMachine: Machine Learning with Bayesian Additive Regression Trees
A. Kapelner
J. Bleich
99
321
0
08 Dec 2013