Cover Image

ADOPT: Additive Optimal Transport Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Wookyeong, Müller, Hans-Georg
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference for Dispersion and Curvature of Random Objects
by: Song, Wookyeong, et al.
Published: (2025)

Inference for Fréchet Regression
by: Song, Wookyeong, et al.
Published: (2026)

Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
by: Zhou, Yidong, et al.
Published: (2023)

Sliced Wasserstein Regression
by: Chen, Han, et al.
Published: (2023)

Deep Fréchet Regression
by: Iao, Su I, et al.
Published: (2024)

Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)

Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)

Truly Multivariate Structured Additive Distributional Regression
by: Kock, Lucas, et al.
Published: (2023)

Association and Independence Test for Random Objects
by: Zhou, Hang, et al.
Published: (2025)

Decomposition-Based Intrinsic Modeling of Shape-Constrained Functional Data
by: Kundu, Poorbita, et al.
Published: (2024)

Conformal inference for random objects
by: Zhou, Hang, et al.
Published: (2024)

Functional Principal Component Analysis for Distribution-Valued Processes
by: Zhou, Hang, et al.
Published: (2023)

Dynamic Modeling of Sparse Longitudinal Data and Functional Snippets With Stochastic Differential Equations
by: Zhou, Yidong, et al.
Published: (2023)

Modeling Time-Varying Random Objects and Dynamic Networks
by: Dubey, Paromita, et al.
Published: (2021)

Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)

Correlated Bayesian Additive Regression Trees with Gaussian Process for Regression Analysis of Dependent Data
by: a, Xuetao Lu, et al.
Published: (2023)

Measure Selection for Functional Linear Model
by: Iao, Su I, et al.
Published: (2025)

Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
by: Li, Daoji, et al.
Published: (2023)

Estimating Shapley Effects in Big-Data Emulation and Regression Settings using Bayesian Additive Regression Trees
by: Horiguchi, Akira, et al.
Published: (2023)

Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
by: Kurisu, Daisuke, et al.
Published: (2025)

Bayesian Additive Regression Tree Copula Processes for Scalable Distributional Prediction
by: Wenkel, Jan Martin, et al.
Published: (2026)

Exceedance and force of centrality for functional data
by: Kundu, Poorbita, et al.
Published: (2025)

Metric Statistics: Exploration and Inference for Random Objects With Distance Profiles
by: Dubey, Paromita, et al.
Published: (2022)

Predictive Distributions and the Transition from Sparse to Dense Functional Data
by: Gajardo, Álvaro, et al.
Published: (2021)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)

Conditional Copula models using loss-based Bayesian Additive Regression Trees
by: Basu, Tathagata, et al.
Published: (2025)

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

Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference
by: Ashouri, Mahsa, et al.
Published: (2024)

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

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

Parameter Estimation and Inference in a Continuous Piecewise Linear Regression Model
by: Hahn, Georg, et al.
Published: (2025)

Distributed Convoluted Rank Regression for Non-Shareable Data under Non-Additive Losses
by: Zhang, Wen, et al.
Published: (2026)

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

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions
by: Brachem, Johannes, et al.
Published: (2024)

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
by: Maier, Eva-Maria, et al.
Published: (2021)

Geodesic Causal Inference
by: Kurisu, Daisuke, et al.
Published: (2024)

Causal Inference under Interference: Regression Adjustment and Optimality
by: Fan, Xinyuan, et al.
Published: (2025)

Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
by: Li, Zexiang, et al.
Published: (2026)

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