:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Heyuan, Hao, Meiling, Qu, Lianqiang, Sun, Liuquan
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2504.21324
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal inference for censored data with continuous marks
by: Qu, Lianqiang, et al.
Published: (2026)

Linear spline index regression model: Interpretability, nonlinearity and dimension reduction
by: Qu, Lianqiang, et al.
Published: (2024)

Distributed variable screening for generalized linear models
by: Diao, Tianbo, et al.
Published: (2024)

Estimation and inference of high-dimensional partially linear regression models with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data
by: Zhu, Bencong, et al.
Published: (2024)

Semiparametric analysis for paired comparisons with covariates
by: Song, Haoyue, et al.
Published: (2026)

On inference in parametric survival data models
by: Hjort, Nils Lid
Published: (2026)

Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)

Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)

Temporal network analysis via a degree-corrected Cox model
by: Chen, Yuguo, et al.
Published: (2025)

Gaussian copula correlation network analysis with application to multi-omics data
by: Tomilina, Ekaterina, et al.
Published: (2025)

Statistical inference for high-dimensional convoluted rank regression
by: Cai, Leheng, et al.
Published: (2024)

Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)

Adaptive weighted approach for high-dimensional statistical learning and inference
by: Lu, Jun, et al.
Published: (2022)

Complex trend inference for high-dimensional piecewise locally stationary time series
by: Bai, Lujia, et al.
Published: (2024)

An efficient joint model for high dimensional longitudinal and survival data via generic association features
by: Nguyen, Van Tuan, et al.
Published: (2023)

Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix
by: Majumdar, Koyel, et al.
Published: (2024)

Re-examining and calibrating weighted survival analysis for causal inference
by: Xu, Wenfu, et al.
Published: (2026)

Statistical inference for high-dimensional spectral density matrix
by: Chang, Jinyuan, et al.
Published: (2022)

Conditional variable screening for ultra-high dimensional longitudinal data with time interactions
by: Bratsberg, Andrea, et al.
Published: (2023)

Debiased inference for stochastic treatment interventions with survival outcomes
by: Martinussen, Torben, et al.
Published: (2026)

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
by: Fan, Kun, et al.
Published: (2025)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)

Inference on covariance structure in high-dimensional multi-view data
by: Mauri, Lorenzo, et al.
Published: (2025)

Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models
by: Kim, Younghoon, et al.
Published: (2025)

Partially factorized variational inference for high-dimensional mixed models
by: Goplerud, Max, et al.
Published: (2023)

Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)

Distributed inference for heterogeneous mixture models using multi-site data
by: Liu, Xiaokang, et al.
Published: (2025)

Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis
by: Xian, Chengqian, et al.
Published: (2024)

Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)

Robust inference of causality in high-dimensional dynamical processes from the Information Imbalance of distance ranks
by: Del Tatto, Vittorio, et al.
Published: (2023)

An efficient tensor regression for high-dimensional data
by: Si, Yuefeng, et al.
Published: (2022)

Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)

The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
by: Moosavi, Niloofar, et al.
Published: (2021)

Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)

Efficient subsampling for high-dimensional data
by: Chasiotis, Vasilis, et al.
Published: (2024)

Procrustes analysis for high-dimensional data
by: Andreella, Angela, et al.
Published: (2020)

Including historical control data in simultaneous inference for pre-clinical multi-arm studies
by: Menssen, Max, et al.
Published: (2026)