:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Paul, Sayantan, Chakrabarti, Arijit
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2401.05693
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Posterior Contraction rate and Asymptotic Bayes Optimality for one-group shrinkage priors in sparse normal means problem
by: Paul, Sayantan, et al.
Published: (2022)

Sharp Asymptotic Minimaxity for Multiple Testing Using One-Group Shrinkage Priors
by: Paul, Sayantan, et al.
Published: (2025)

Consistent Group selection using Global-local prior in High dimensional setup
by: Paul, Sayantan, et al.
Published: (2023)

Asymptotic Normality of Subgraph Counts in Sparse Inhomogeneous Random Graphs
by: Chatterjee, Sayak, et al.
Published: (2025)

Admissibility of Adaptive Monotone Step-Down Multiple Testing Procedures Under Arbitrary Covariance Dependence
by: Ghosh, Prasenjit, et al.
Published: (2026)

A Leakage Bound for Confidence Sets after Black-Box Selection
by: Banerjee, Sayantan
Published: (2026)

Asymptotically Optimal Sequential Testing with Markovian Data
by: Sethi, Alhad, et al.
Published: (2026)

Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)

Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation
by: Jin, Yanhao, et al.
Published: (2024)

Optimal information deletion and Bayes' theorem
by: Montcho, Hans, et al.
Published: (2026)

Bayesian inference in high-dimensional models
by: Banerjee, Sayantan, et al.
Published: (2021)

Asymptotically Optimal Sequential Testing with Heterogeneous LLMs
by: Li, Guokai, et al.
Published: (2026)

Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
by: Dey, Monitirtha, et al.
Published: (2023)

Constrained Denoising, Empirical Bayes, and Optimal Transport
by: Jaffe, Adam Quinn, et al.
Published: (2025)

Power Bounds and Efficiency Loss for Asymptotically Optimal Tests in IV Regression
by: Moreira, Marcelo J., et al.
Published: (2026)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)

Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
by: Prevost, Adrien, et al.
Published: (2025)

On Asymptotic Optimality of Least Squares Model Averaging When True Model Is Included
by: Xu, Wenchao, et al.
Published: (2024)

Hazard Rate for Associated Data in Deconvolution Problems: Asymptotic Normality
by: Essalih, Benjrada Mohammed
Published: (2025)

Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition
by: Yu, Ju-Chi, et al.
Published: (2024)

Adaptive variational Bayes: Optimality, computation and applications
by: Ohn, Ilsang, et al.
Published: (2021)

Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
by: López, Oscar, et al.
Published: (2022)

Optimal score estimation via empirical Bayes smoothing
by: Wibisono, Andre, et al.
Published: (2024)

Sharp Non-Asymptotic Bounds for the Star Discrepancy of Double-Infinite Random Matrices via Optimal Covering Numbers
by: Xu, Xiaoda, et al.
Published: (2025)

A Thermodynamic Structure of Asymptotic Inference
by: Wong, Willy
Published: (2026)

Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
by: Okada, Kensuke
Published: (2026)

Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)

Learning with Sparsely Permuted Data: A Robust Bayesian Approach
by: Chakraborty, Abhisek, et al.
Published: (2024)

One-shot Conditional Sampling: MMD meets Nearest Neighbors
by: Chatterjee, Anirban, et al.
Published: (2025)

Non-Asymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data
by: Zheng, Yuping, et al.
Published: (2024)

Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)

Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)

Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
by: Stamouli, Charis, et al.
Published: (2024)

Probability Distributions for Counts and Compositions
by: Wu, Guanyi
Published: (2025)

Asymptotic Normality of the Conditional Value-at-Risk based Pickands Estimator
by: Li, Yizhou, et al.
Published: (2024)

Asymptotic efficiency for Sobol' and Cram{é}r-von Mises indices under two designs of experiments
by: Klein, Thierry, et al.
Published: (2024)

Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)

Asymptotic Equivalence for Nonparametric Regression
by: Grama, Ion, et al.
Published: (2024)

Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
by: Liu, Lei, et al.
Published: (2025)