Imagen de Portada

Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cao, Jiahao, He, Shiyuan, Zhang, Bohai
Formato:	Preprint
Publicado:	2025
Materias:	Methodology Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative Regression with IQ-BART
por: O'Hagan, Sean, et al.
Publicado: (2025)

MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
por: Tian, Jiahao, et al.
Publicado: (2026)

Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
por: Chen, Shuoli, et al.
Publicado: (2023)

flexBART: Flexible Bayesian regression trees with categorical predictors
por: Deshpande, Sameer K.
Publicado: (2022)

Coefficient Shape Transfer Learning for Functional Linear Regression
por: Jiao, Shuhao, et al.
Publicado: (2025)

Coefficient Shape Alignment in Multiple Functional Linear Regression
por: Jiao, Shuhao, et al.
Publicado: (2023)

An Infinite BART model
por: Battiston, Marco, et al.
Publicado: (2025)

Sequential Adaptive Priors for Orthogonal Functions
por: Sugasawa, Shonosuke, et al.
Publicado: (2025)

GS-BART: Bayesian Additive Regression Trees with Graph-split Decision Rules
por: He, Shuren, et al.
Publicado: (2025)

BFTS: Thompson Sampling with Bayesian Additive Regression Trees
por: Deng, Ruizhe, et al.
Publicado: (2026)

Probit Monotone BART
por: Fisher, Jared D.
Publicado: (2025)

GRASP: Grouped Regression with Adaptive Shrinkage Priors
por: Tew, Shu Yu, et al.
Publicado: (2025)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
por: He, Junhui, et al.
Publicado: (2024)

Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
por: Kondo, Daisuke, et al.
Publicado: (2026)

A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
por: Alcantara, Rafael, et al.
Publicado: (2025)

Bayesian Additive Distribution Regression
por: Linero, Antonio R., et al.
Publicado: (2026)

Machine-Learning-Assisted Comparison of Regression Functions
por: Yan, Jian, et al.
Publicado: (2025)

Near-Optimal Approximations for Bayesian Inference in Function Space
por: Wild, Veit, et al.
Publicado: (2025)

Total robustness in Bayesian Nonlinear Regression
por: Chen, Mengqi, et al.
Publicado: (2025)

Spatiotemporal Besov Priors for Bayesian Inverse Problems
por: Lan, Shiwei, et al.
Publicado: (2023)

Online Functional Principal Component Analysis on a Multidimensional Domain
por: Nanshan, Muye, et al.
Publicado: (2025)

Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
por: Li, Diantong, et al.
Publicado: (2024)

Bayesian Data Sketching for Varying Coefficient Regression Models
por: Guhaniyogi, Rajarshi, et al.
Publicado: (2025)

Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
por: Wakayama, Tomoya
Publicado: (2024)

Enhancing Differentially Private Linear Regression via Public Second-Moment
por: Cao, Zilong, et al.
Publicado: (2025)

Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
por: Bockting, Florence, et al.
Publicado: (2023)

Variational Inference for Bayesian MIDAS Regression
por: Simeone, Luigi
Publicado: (2026)

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
por: Dhawan, Nikita, et al.
Publicado: (2026)

Doubly-Regressing Approach for Subgroup Fairness
por: Kim, Kunwoong, et al.
Publicado: (2025)

Bayesian Multiple Multivariate Density-Density Regression
por: Nguyen, Khai, et al.
Publicado: (2026)

bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
por: Umlauf, Nikolaus, et al.
Publicado: (2019)

Covariance-Driven Regression Trees: Reducing Overfitting in CART
por: Zhang, Likun, et al.
Publicado: (2026)

Online Joint Assortment-Inventory Optimization under MNL Choices
por: Liang, Yong, et al.
Publicado: (2023)

FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
por: Boschi, Tobia, et al.
Publicado: (2023)

Bayesian Multivariate Density-Density Regression
por: Nguyen, Khai, et al.
Publicado: (2025)

A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes
por: Salmaso, Filippo, et al.
Publicado: (2026)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
por: Fisher, Jared D., et al.
Publicado: (2024)

Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
por: Wei, Zeyu, et al.
Publicado: (2023)

EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
por: Welbaum, Andrew, et al.
Publicado: (2025)

A Meta-Learning Approach to Bayesian Causal Discovery
por: Dhir, Anish, et al.
Publicado: (2024)