:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Shao-Hsuan, Bai, Ray, Huang, Hsin-Hsiung
Format:	Preprint
Published:	2022
Subjects:	Statistics Theory Primary 62F15, Secondary 62F12
Online Access:	https://arxiv.org/abs/2201.12839
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continuous Time Locally Stationary Wavelet Processes
by: Palasciano, Henry Antonio, et al.
Published: (2023)

Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)

Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
by: Bergh, Don van den, et al.
Published: (2022)

Sparse maximum likelihood estimation for regression models
by: Tsao, Min
Published: (2024)

Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
by: Hawila, Nour, et al.
Published: (2024)

A Bayesian approach to functional regression: theory and computation
by: Berrendero, José R., et al.
Published: (2023)

Consistency of M-estimators for non-identically distributed data: the case of fixed-design distributional regression
by: Bücher, Axel, et al.
Published: (2025)

Sparse factor models of high dimension
by: Poignard, Benjamin, et al.
Published: (2023)

Local asymptotics of selection models with applications in Bayesian selective inference
by: Rasines, Daniel G., et al.
Published: (2023)

A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
by: Hur, Yongseok, et al.
Published: (2025)

Bayesian Effective Dimension: A Mutual Information Perspective
by: Banerjee, Sayantan
Published: (2025)

Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
by: Kaurila, Karel, et al.
Published: (2022)

Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
by: Kaurila, Karel, et al.
Published: (2024)

Choosing observation operators to mitigate model error in Bayesian inverse problems
by: Cvetković, Nada, et al.
Published: (2023)

Directional testing for one-way MANOVA in divergent dimensions
by: Huang, Caizhu, et al.
Published: (2024)

An Axiomatisation of Error Intolerant Estimation
by: Brand, Michael
Published: (2024)

Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression
by: Lee, Holden, et al.
Published: (2024)

Dimension-free uniform concentration bound for logistic regression
by: Nakakita, Shogo
Published: (2024)

Likelihood inference of the non-stationary Hawkes process with non-exponential kernel
by: Kwan, Tsz-Kit Jeffrey, et al.
Published: (2024)

The differential structure shared by probability and moment matching priors on non-regular statistical models via the Lie derivative
by: Yoshioka, Masaki, et al.
Published: (2025)

Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
by: Lee, Kwangmin, et al.
Published: (2024)

On the class of exponential statistical structures of type B
by: Volkov, Oleksandr, et al.
Published: (2025)

Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)

Finite sample expansions and risk bounds in high-dimensional SLS models
by: Spokoiny, Vladimir
Published: (2024)

Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
by: Hejný, Ivan, et al.
Published: (2025)

Shrinkage priors for circulant correlation structure models
by: Okudo, Michiko, et al.
Published: (2025)

Convergence Rates for Realizations of Gaussian Random Variables
by: Winkle, Daniel, et al.
Published: (2025)

A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)

Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
by: Franks, Cole, et al.
Published: (2021)

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

Confidence and discoveries with e-values
by: Vovk, Vladimir, et al.
Published: (2019)

Criterion for the resemblance between the mother and the model distribution
by: Sheena, Yo
Published: (2022)

MLE convergence speed to information projection of exponential family: Criterion for model dimension and sample size -- complete proof version--
by: Sheena, Yo
Published: (2021)

Beyond the delta method
by: Lejay, Antoine, et al.
Published: (2022)

The Bernstein-von Mises theorem for Bayesian one-pass online learning
by: Lee, Jeyong, et al.
Published: (2026)

Estimating the tail index of Pareto-type distributions from geometric records
by: Alcalde, Martín, et al.
Published: (2026)

Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
by: Momozaki, Tomotaka, et al.
Published: (2023)

Confidence intervals for causal effects in sequential decision making
by: Vovk, Vladimir, et al.
Published: (2026)

Generalized mutual information and their reference priors under Csizar f-divergence
by: Van Biesbroeck, Antoine
Published: (2023)