:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Shixiang, Zhang, Yanhang, Li, Zhifan, Yin, Jianxin
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2503.18722
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Hard Thresholding Pursuit: Full Adaptation and Sharp Estimation
by: Zhang, Yanhang, et al.
Published: (2025)

Exact recovery in the double sparse model: sufficient and necessary signal conditions
by: Liu, Shixiang, et al.
Published: (2025)

A minimax optimal approach to high-dimensional double sparse linear regression
by: Zhang, Yanhang, et al.
Published: (2023)

High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond
by: Liu, Shixiang, et al.
Published: (2026)

Multi-Layer Backward Joint Model for Dynamic Prediction of Clinical Events with Multivariate Longitudinal Predictors of Mixed Types
by: Li, Wenhao, et al.
Published: (2025)

Tensor Elliptical Graphic Model
by: Liu, Jixuan, et al.
Published: (2025)

Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
by: Li, Wenhao, et al.
Published: (2023)

Hub Detection in Gaussian Graphical Models
by: Gómez, José Á. Sánchez, et al.
Published: (2025)

LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models
by: Nguyen, Ha, et al.
Published: (2026)

High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)

DROP: Distributionally Robust Optimization for Multi-task Learning in Graphical Models
by: Shen, Canruo, et al.
Published: (2026)

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
by: Behdin, Kayhan, et al.
Published: (2023)

Generative Conformal Prediction with Vectorized Non-Conformity Scores
by: Zheng, Minxing, et al.
Published: (2024)

Bayesian Functional Graphical Models with Change-Point Detection
by: Liu, Chunshan, et al.
Published: (2024)

Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
by: Wen, Wang, et al.
Published: (2025)

Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)

Graphical Transformation Models
by: Herp, Matthias, et al.
Published: (2025)

Adaptive Active Learning for Online Reliability Prediction of Satellite Electronics
by: Li, Shixiang, et al.
Published: (2026)

Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)

Graphical Model-based Inference on Persistent Homology
by: Wu, Zitian, et al.
Published: (2025)

Bayesian Inference for Single-factor Graphical Models
by: Marcano, David, et al.
Published: (2025)

Profile Graphical Models
by: Avalos-Pacheco, Alejandra, et al.
Published: (2026)

Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation
by: Li, Yan, et al.
Published: (2020)

Conditional Extremes with Graphical Models
by: Farrell, Aiden, et al.
Published: (2024)

Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
by: Vogels, Lucas, et al.
Published: (2023)

Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)

Robust Semiparametric Graphical Models with Skew-Elliptical Distributions
by: Di Luzio, Gabriele, et al.
Published: (2025)

High-Dimensional Covariate-Dependent Gaussian Graphical Models
by: Wang, Jiacheng, et al.
Published: (2025)

Graph of Graphs: From Nodes to Supernodes in Graphical Models
by: De Iorio, Maria, et al.
Published: (2023)

A Spatial Autoregressive Graphical Model with Applications in Intercropping
by: Hermes, Sjoerd, et al.
Published: (2023)

Actively Learning Joint Contours of Multiple Computer Experiments
by: Prim, Shih-Ni, et al.
Published: (2025)

Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models
by: Rumsey, Kellin N., et al.
Published: (2023)

Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
by: Zhou, Wenbin, et al.
Published: (2026)

Joint Dynamic Models and Statistical Inference for Recurrent Competing Risks, Longitudinal Marker, and Health Status
by: Tong, Lili, et al.
Published: (2021)

Semiparametric Efficiency of Residual Correlation Testing under Gaussian Additive Noise Models
by: Tang, Yin, et al.
Published: (2026)

Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
by: Kilian, Valentin, et al.
Published: (2024)

Gaussian Graphical Models for Partially Observed Multivariate Functional Data
by: Borriero, Marco, et al.
Published: (2025)

Mixture of Directed Graphical Models for Discrete Spatial Random Fields
by: Carter, J. Brandon, et al.
Published: (2024)

Functional Gaussian Graphical Regression Models For Air Quality Data
by: Fici, Rita, et al.
Published: (2024)

Monitoring Covariance in Multichannel Profiles via Functional Graphical Models
by: Capezza, Christian, et al.
Published: (2026)