Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1306.0618
Cited By

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"

15 / 15 papers shown

Leveraging Predictive Equivalence in Decision Trees

Leveraging Predictive Equivalence in Decision Trees

Hayden McTavish

427

2

0

17 Jun 2025

Prediction Models That Learn to Avoid Missing Values

Prediction Models That Learn to Avoid Missing Values

Fredrik D. Johansson

380

1

0

06 May 2025

Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of
Part-Time Work on Growth in High School Mathematics Achievement

Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement

Andrew C. Parnell

224

2

0

16 Jul 2024

Regression with Variable Dimension Covariates

Regression with Variable Dimension Covariates

Fernando Andrés Quintana

172

1

0

25 Sep 2023

Imputation of missing values in multi-view data

Imputation of missing values in multi-view dataInformation Fusion (Inf. Fusion), 2022

Wouter van Loon

Reinhold Schmidt

308

8

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 ValuesIEEE transactions on fuzzy systems (IEEE TFS), 2022

236

1

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 inferenceJournal of Computational And Graphical Statistics (JCGS), 2022

307

16

0

23 Apr 2022

Extraction of Visual Information to Predict Crowdfunding Success

Extraction of Visual Information to Predict Crowdfunding SuccessProduction and operations management (POM), 2022

Simon J. Blanchard

Theodore J. Noseworthy

297

16

0

28 Mar 2022

Fairness without Imputation: A Decision Tree Approach for Fair
Prediction with Missing Values

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Flavio du Pin Calmon

256

47

0

21 Sep 2021

Variable selection with missing data in both covariates and outcomes:
Imputation and machine learning

Variable selection with missing data in both covariates and outcomes: Imputation and machine learningStatistical Methods in Medical Research (Stat Med), 2021

Jung-Yi Joyce Lin

231

16

0

06 Apr 2021

Supervised learning for the prediction of firm dynamics

Supervised learning for the prediction of firm dynamics

Falco J. Bargagli-Stoffi

J. Niederreiter

183

21

0

11 Sep 2020

Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs

Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARsJournal of Econometrics (J. Econometrics), 2020

Michael Pfarrhofer

Josef Schreiner

273

92

0

28 Aug 2020

On the consistency of supervised learning with missing values

On the consistency of supervised learning with missing values

Gaël Varoquaux

416

134

0

19 Feb 2019

Crowdsourcing Predictors of Residential Electric Energy Usage

Crowdsourcing Predictors of Residential Electric Energy Usage

James P. Bagrow

136

13

0

08 Sep 2017

bartMachine: Machine Learning with Bayesian Additive Regression Trees

bartMachine: Machine Learning with Bayesian Additive Regression Trees

333

357

0

08 Dec 2013

Page 1 of 1