Cover Image

"Robust-squared" Imputation Models Using BART

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Yaoyuan V., Flannagan, Carol A. C., Elliott, Michael R.
Format:	Preprint
Published:	2018
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian Additive Regression Trees
by: Tan, Yaoyuan Vincent, et al.
Published: (2016)

Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study
by: Tan, Yaoyuan Vincent, et al.
Published: (2018)

Bayesian additive regression trees and the General BART model
by: Tan, Yaoyuan Vincent, et al.
Published: (2019)

Multiple Imputation for Small, Extremely High Efficacy Clinical Trials with Binary Endpoints
by: Tan, Yaoyuan Vincent, et al.
Published: (2025)

Strategic decision points in experiments: A predictive Bayesian optional stopping method
by: Yang, Xiaomi, et al.
Published: (2025)

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)

Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024)

SHARELIFE Imputations
by: De Luca, Giuseppe, et al.
Published: (2026)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
by: McGowan, Lucy D'Agostino
Published: (2025)

Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
by: Moon, Haeun, et al.
Published: (2024)

Investigating Mode Effects in Interviewer Variances Using Two Representative Multi-mode Surveys
by: Yu, Wenshan, et al.
Published: (2024)

Extracting Emotion Phrases from Tweets using BART
by: Rezapour, Mahdi
Published: (2024)

Multivariate Time Series Data Imputation via Distributionally Robust Regularization
by: Liao, Che-Yi, et al.
Published: (2026)

A Practical Guide to Modern Imputation
by: Näf, Jeffrey
Published: (2026)

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
by: Imberg, Henrik, et al.
Published: (2022)

Index Date Imputation For Survival Outcomes for Externally Controlled Trials
by: Coent, Q. Le, et al.
Published: (2025)

Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
by: Xu, Changchang, et al.
Published: (2025)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

A Structure-Preserving Assessment of VBPBB for Time Series Imputation Under Periodic Trends, Noise, and Missingness Mechanisms
by: Ahmad, Asmaa, et al.
Published: (2025)

Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Lu, Minxin, et al.
Published: (2023)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
by: Li, Qiushuang, et al.
Published: (2025)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
by: Garraza, Lucas Godoy, et al.
Published: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
by: Garraza, Lucas Godoy, et al.
Published: (2024)

Filling the Gaps: A Multiple Imputation Approach to Estimating Aging Curves in Baseball
by: Nguyen, Quang, et al.
Published: (2022)

Joint Modeling of Multiple Longitudinal Biomarkers and Survival Outcomes via Threshold Regression: Variability as a Predictor
by: Yu, Mingyan, et al.
Published: (2025)

Enhanced Imputation of Marine Wave Observations Using a Nearest‐Neighbors Algorithm With Standardized Energy‐Based Wave Features
by: Tai‐Wen Hsu, et al.
Published: (2025)

Outcome-Assisted Multiple Imputation of Missing Treatments
by: Feldman, Joseph, et al.
Published: (2025)

A Comparative Study of Imputation Methods for Multivariate Ordinal Data
by: Wongkamthong, Chayut, et al.
Published: (2020)

Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
by: Ke, Yuxuan, et al.
Published: (2025)

Multiple Imputation Method for High-Dimensional Neuroimaging Data
by: Lu, Tong, et al.
Published: (2023)

A New Perspective to Fish Trajectory Imputation: A Methodology for Spatiotemporal Modeling of Acoustically Tagged Fish Data
by: Ahmadian, Mahshid, et al.
Published: (2024)

Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
by: Li, Wenrui, et al.
Published: (2021)

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
by: Liu, Daphne H., et al.
Published: (2024)

MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake
by: Arefeen, Asiful, et al.
Published: (2025)

Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)

Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
by: Elliott, Dylan, et al.
Published: (2025)

Sparse least trimmed squares regression for analyzing high-dimensional large data sets
by: Alfons, Andreas, et al.
Published: (2013)