:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhong, Xinyi, Wang, Tianhao, Fan, Zhou
Format:	Preprint
Published:	2021
Subjects:	Statistics Theory Methodology
Online Access:	https://arxiv.org/abs/2110.02318
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Universality of Approximate Message Passing algorithms and tensor networks
by: Wang, Tianhao, et al.
Published: (2022)

On Universality of Non-Separable Approximate Message Passing Algorithms
by: Lovig, Max, et al.
Published: (2025)

G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)

Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)

Prior distributions for structured semi-orthogonal matrices
by: Jauch, Michael, et al.
Published: (2025)

Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)

Interpretable Multivariate Conformal Prediction with Fast Transductive Standardization
by: Fan, Yunjie, et al.
Published: (2025)

Scores for Multivariate Distributions and Level Sets
by: Meng, Xiaochun, et al.
Published: (2020)

Multivariate Species Sampling Models
by: Franzolini, Beatrice, 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)

Multivariate Matérn Models -- A Spectral Approach
by: Yarger, Drew, et al.
Published: (2023)

Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)

Cellwise and Casewise Robust Multivariate Regression with Inference
by: Centofanti, Fabio, et al.
Published: (2026)

Multivariate Tie-breaker Designs
by: Morrison, Tim P., et al.
Published: (2022)

Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case
by: Okano, Ryo, et al.
Published: (2023)

Fitting sparse high-dimensional varying-coefficient models with Bayesian regression tree ensembles
by: Ghosh, Soham, et al.
Published: (2025)

Asymmetric Cross-Correlation in Multivariate Spatial Stochastic Processes: A Primer
by: Chen, Xiaoqing
Published: (2025)

Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
by: Baumeister, Marléne, et al.
Published: (2025)

Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
by: Hu, Xiaohan, et al.
Published: (2025)

Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
by: Liu, Miaoshiqi, et al.
Published: (2025)

Microergodicity implies orthogonality of Matérn fields on bounded domains in $\mathbb{R}^4$
by: Pillai, Natesh S.
Published: (2026)

Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
by: Garg, Naresh, et al.
Published: (2024)

Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)

Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates
by: Li, Xinyi, et al.
Published: (2025)

Bias correction of quadratic spectral estimators
by: Astfalck, Lachlan, et al.
Published: (2024)

Unsupervised linear discrimination using skewness
by: Radojicic, Una, et al.
Published: (2025)

Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)

Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
by: Chen, Xiaoqing, et al.
Published: (2024)

An Ising Similarity Regression Model for Modeling Multivariate Binary Data
by: Tho, Zhi Yang, et al.
Published: (2024)

Multivariate EDF tests for uniformity, normality,spherical and elliptical symetry, and independence based on a Brownian sheet deconstruction
by: Cabaña, Alejandra, et al.
Published: (2026)

Bayesian shrinkage priors subject to linear constraints
by: Ling, Zhi, et al.
Published: (2025)

Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts
by: Olafsdottir, Helga Kristin, et al.
Published: (2023)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)

A Generalized Framework for Approximate Co-Sufficient Sampling
by: Xie, Jie, et al.
Published: (2025)

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

Multi-resolution subsampling for large-scale linear classification
by: Chen, Haolin, et al.
Published: (2024)

Testing for changes in the error distribution in functional linear models
by: Neumeyer, Natalie, et al.
Published: (2024)

Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)

Robust variable selection for partially linear additive models
by: Boente, Graciela, et al.
Published: (2024)

Corrected generalized cross-validation for finite ensembles of penalized estimators
by: Bellec, Pierre C., et al.
Published: (2023)