Cover Image

Binary Regression and Classification with Covariates in Metric Spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Yinan, Lin, Zhenhua
Format:	Preprint
Published:	2023
Subjects:	Methodology 62R20, 62J12, 62H30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Maximum Likelihood for Logistic Regression Model with Incomplete and Hybrid-Type Covariates
by: Cherifi, Mohamed, et al.
Published: (2025)

On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)

Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
by: Chang, Yuan-chin Ivan
Published: (2015)

Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)

Clustering Multivariate Time Series using Energy Distance
by: Davis, Richard A., et al.
Published: (2023)

A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
by: Liu, Qingzhi, et al.
Published: (2026)

Multiple Imputation Methods under Extreme Values
by: Brasil, Enzo Porto
Published: (2026)

Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
by: Loureiro, Catarina P., et al.
Published: (2026)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)

Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)

Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
by: Liu, Zhongmao, et al.
Published: (2025)

Estimation of Directed Acyclic Graphs by Frequentist Model Averaging
by: Liu, Huihang, et al.
Published: (2026)

Moment-Based Inference for Regression with Latent Dirichlet Covariates
by: Jiang, Ziyu
Published: (2026)

Variable selection in functional regression models: a review
by: Aneiros, Germán, et al.
Published: (2024)

Spectral Graph Filtering for Modality-Specific Representation Learning
by: Yoffe, Shira, et al.
Published: (2024)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
by: Hasan, Mahmud, et al.
Published: (2026)

A novel framework for detecting multiple change points in functional data sequences
by: Fang, Zhiqing, et al.
Published: (2025)

Extrinsic Total-Variance and Coplanarity via Oriented and Classical Projective Shape Analysis
by: Alamoudi, Musab, et al.
Published: (2025)

Unsupervised Variable Selection for Ultrahigh-Dimensional Clustering Analysis
by: Zhang, Tonglin, et al.
Published: (2024)

Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)

Uniform error bound for PCA matrix denoising
by: Tong, Xin T., et al.
Published: (2023)

A note on Bayesian R-squared for generalized additive mixed models
by: Jalilian, Abdollah, et al.
Published: (2024)

Subbagging Variable Selection for Big Data
by: Li, Xian, et al.
Published: (2025)

Estimating the False Discovery Rate of Variable Selection
by: Luo, Yixiang, et al.
Published: (2024)

Controlling the False Discovery Rate in Subspace Selection
by: Díaz, Mateo, et al.
Published: (2024)

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

Spectral embedding and the latent geometry of multipartite networks
by: Modell, Alexander, et al.
Published: (2022)

Parametric Bootstrap for Fixed Edge-Probability Network Models
by: Shao, Zhixuan, et al.
Published: (2024)

gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)

Linear Discriminant Analysis with High-dimensional Mixed Variables
by: Jiang, Binyan, et al.
Published: (2021)

Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
by: Sawyer, Jennifer, et al.
Published: (2025)

Spatial Scalar-on-Function Quantile Regression Model
by: Mutis, Muge, et al.
Published: (2025)

Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)

On the Structural Dimension of Sliced Inverse Regression
by: Huang, Dongming, et al.
Published: (2023)

Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)

A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
by: Ramirez, Diogenes de Jesus, et al.
Published: (2026)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Estimators for multivariate allometric regression model
by: Tsukuda, Koji, et al.
Published: (2024)