:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Lu, Chen, Ze
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2403.17481
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Varying-Coefficient Fréchet Regression
by: Wang, Yanzhao, et al.
Published: (2025)

Low-Rank Regularization of Global Fréchet Regression Models for Distributional Responses
by: Han, Kyunghee, et al.
Published: (2025)

HiMAP: Hilbert Mass-Aligned Parameterization for Multivariate Barycenters and Frećhet Regression
by: Wang, Tao, et al.
Published: (2026)

The Fréchet correlation coefficient for heterogeneous random objects
by: He, Shuaida, et al.
Published: (2026)

Fréchet Geodesic Boosting
by: Zhou, Yidong, et al.
Published: (2025)

Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)

Nonlinear Regression Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

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

Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)

Robust Numerical Methods for Nonlinear Regression
by: Liu, Peng, et al.
Published: (2024)

A Generalized Fréchet Test for Object Data with Unequal Repeated Measurements
by: Zhang, Jingru, et al.
Published: (2025)

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

On metric choice in dimension reduction for Fréchet regression
by: Soale, Abdul-Nasah, et al.
Published: (2024)

Nonlinear Modal Interval Regression for Bivariate Data Analysis
by: Yao, Sai, et al.
Published: (2026)

A Geometric Condition for Uniqueness of Fréchet Means of Persistence Diagrams
by: Cao, Yueqi, et al.
Published: (2022)

Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)

DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
by: Kim, Kyum, et al.
Published: (2025)

Detecting influential observations in single-index Fréchet regression
by: Soale, Abdul-Nasah
Published: (2023)

Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)

Multi-transport Distributional Regression
by: Chen, Yuanying, et al.
Published: (2026)

fastfrechet: An R package for fast implementation of Fréchet regression with distributional responses
by: Coulter, Alexander, et al.
Published: (2025)

Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds
by: Xu, Haoshu, et al.
Published: (2024)

Fréchet Mean Set Estimation in the Hausdorff Metric, via Relaxation
by: Blanchard, Moise, et al.
Published: (2022)

Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

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

Advancing Counterfactual Inference through Nonlinear Quantile Regression
by: Xie, Shaoan, et al.
Published: (2023)

Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates
by: Bates, Stephen, et al.
Published: (2022)

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

Robust Liu-Type Estimation for Multicollinearity in Fuzzy Logistic Regression
by: Shemail, Ayad Habib, et al.
Published: (2025)

Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)

Order Dependence in Regression by Composition: Discussion on "Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt
by: Dong, Mei, et al.
Published: (2026)

Fréchet random forests for metric space valued regression with non euclidean predictors
by: Capitaine, Louis, et al.
Published: (2019)

Assessing Spatial Disparities: A Bayesian Linear Regression Approach
by: Wu, Kyle Lin, et al.
Published: (2024)

Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
by: You, Hojun, et al.
Published: (2022)

Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
by: Ding, Xiucai, et al.
Published: (2025)

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

Fréchet regression of multivariate distributions with nonparanormal transport
by: Park, Junyoung, et al.
Published: (2026)

Fast Semiparametric Density Regression with Weight-localized Predictive Recursion
by: Lin, Jonathan, et al.
Published: (2026)