:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Fuzhi, Liang, Weijuan, Ma, Shuangge, Zhang, Qingzhao
Format:	Preprint
Published:	2026
Subjects:	Methodology G.3
Online Access:	https://arxiv.org/abs/2604.15070
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Overlapping Group Lasso for GMANOVA Model
by: Ohishi, M., et al.
Published: (2025)

FLAT: Fused Lasso Regression with Adaptive Minimum Spanning Tree with Applications on Thermohaline Circulation
by: Che, Cuiwen, et al.
Published: (2025)

Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input
by: Kang, Lulu, et al.
Published: (2025)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
by: Cai, Zhanrui, et al.
Published: (2023)

Generalized Tensor Completion with Non-Random Missingness
by: Zhang, Maoyu, et al.
Published: (2025)

A Preferential Latent Space Model for Text Networks
by: Zhang, Maoyu, et al.
Published: (2024)

Prediction-Powered Linear Regression: A Balance Between Interpretation and Prediction
by: Xu, Fuzhi, et al.
Published: (2026)

Bootstrapping Lasso in Generalized Linear Models
by: Choudhury, Mayukh, et al.
Published: (2024)

Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)

A Latent Shrinkage Position Model for Binary and Count Network Data
by: Gwee, Xian Yao, et al.
Published: (2022)

Generative modelling of multivariate geometric extremes using normalising flows
by: De Monte, Lambert, et al.
Published: (2025)

Design of Experiments for Emulations: A Selective Review from a Modeling Perspective
by: Deng, Xinwei, et al.
Published: (2025)

Generalized Reduced-Rank Regression with Homogeneity Pursuit
by: Dong, Ruipeng, et al.
Published: (2025)

Confirmatory Adaptive Hypothesis Tests in Markovian Illness-Death Models
by: Schmidt, Rene, et al.
Published: (2025)

KOO Method-based Consistent Clustering for Group-wise Linear Regression with Graph Structure
by: Ohishi, M., et al.
Published: (2025)

Semiparametric Growth-Curve Modeling in Hierarchical, Longitudinal Studies
by: Selukar, Rajesh
Published: (2025)

Bias Correction in Factor-Augmented Regression Models with Weak Factors
by: Jiang, Peiyun, et al.
Published: (2025)

Lasso-Ridge Refitting: A Two-Stage Estimator for High-Dimensional Linear Regression
by: Liu, Guo
Published: (2025)

Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
by: Zhang, Jiuchen, et al.
Published: (2023)

Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
by: González-Barquero, Pilar, et al.
Published: (2024)

Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)

Fisher's ideas and the design of field experiments in agronomy and plant breeding
by: Piepho, Hans-Peter
Published: (2026)

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

Detecting Changes in Production Frontiers
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)

Z-Curve Plot: A Visual Diagnostic for Publication Bias in Meta-Analysis
by: Bartoš, František, et al.
Published: (2025)

Inference of Half Logistic Geometric Distribution Based on Generalized Order Statistics
by: Gupta, Neetu, et al.
Published: (2025)

Adaptive weight selection for time-to-event data under non-proportional hazards
by: Danzer, Moritz Fabian, et al.
Published: (2024)

Alternative Likelihood Approximations for High-Dimensional Intervals for Lasso
by: Harris, Logan, et al.
Published: (2025)

Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)

Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio
by: Spector, Asher, et al.
Published: (2022)

Data-adaptive structural change-point detection via isolation
by: Anastasiou, Andreas, et al.
Published: (2024)

Monitoring a developing pandemic with available data
by: Gámiz, María Luz, et al.
Published: (2023)

Low quality exposure and point processes with a view to the first phase of a pandemic
by: Gámiz, María Luz, et al.
Published: (2023)

Estimations of Extreme CoVaR and CoES under Asymptotic Independence
by: Zhong, Qingzhao
Published: (2026)

Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting
by: Lade, Ankit, et al.
Published: (2026)

Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
by: Zhao, Zhigen, et al.
Published: (2026)

Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration
by: Nizzardo, Andrea, et al.
Published: (2024)

Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
by: Bartoš, František, et al.
Published: (2026)

Simultaneous Estimation of Ballpark Effects and Team Defense Using Total Bases Residuals
by: Wu, Jhe-Jia, et al.
Published: (2026)

Meta-Analysis with JASP, Part I: Classical Approaches
by: Bartoš, František, et al.
Published: (2025)