Improved dimension dependence in the Bernstein von Mises Theorem via a new Laplace approximation bound
Fuente:
arXiv
Saved in:
| Main Author: | Katsevich, Anya |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment
by: Katsevich, Anya
Published: (2023)
by: Katsevich, Anya
Published: (2023)
The Laplace asymptotic expansion in high dimensions
by: Katsevich, Anya
Published: (2024)
by: Katsevich, Anya
Published: (2024)
Tight Bounds on the Laplace Approximation Accuracy in High Dimensions
by: Katsevich, Anya
Published: (2023)
by: Katsevich, Anya
Published: (2023)
A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems
by: Katsevich, Anya, et al.
Published: (2025)
by: Katsevich, Anya, et al.
Published: (2025)
High-dimensional Laplace asymptotics up to the concentration threshold
by: Katsevich, Alexander, et al.
Published: (2026)
by: Katsevich, Alexander, et al.
Published: (2026)
Asymptotic analysis of rare events in high dimensions
by: Katsevich, Anya, et al.
Published: (2025)
by: Katsevich, Anya, et al.
Published: (2025)
Bernstein von-Mises Theorem for g-prior and nonlocal prior
by: Fang, Xiao, et al.
Published: (2024)
by: Fang, Xiao, et al.
Published: (2024)
A Bernstein-von Mises Theorem for Generalized Fiducial Distributions
by: Borgert, J. E., et al.
Published: (2024)
by: Borgert, J. E., et al.
Published: (2024)
Variational Bernstein-von Mises theorem with increasing parameter dimension
by: Yan, Jiawei, et al.
Published: (2025)
by: Yan, Jiawei, et al.
Published: (2025)
Semi-parametric Bernstein-von Mises Theorem in a Parabolic PDE Problem
by: Magra, Adel, et al.
Published: (2026)
by: Magra, Adel, et al.
Published: (2026)
Skewed Bernstein-von Mises theorem and skew-modal approximations
by: Durante, Daniele, et al.
Published: (2023)
by: Durante, Daniele, et al.
Published: (2023)
Valid Credible Ellipsoids for Linear Functionals by a Renormalized Bernstein-von Mises Theorem
by: Rømer, Gustav
Published: (2024)
by: Rømer, Gustav
Published: (2024)
Saddle Point Approximation and Central Limit Theorem for Densities in high dimensions
by: Katsevich, Alexander
Published: (2025)
by: Katsevich, Alexander
Published: (2025)
The Bernstein-von Mises theorem for Semiparametric Mixtures
by: Franssen, Stefan, et al.
Published: (2024)
by: Franssen, Stefan, et al.
Published: (2024)
Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
by: Walker, Christopher D.
Published: (2023)
by: Walker, Christopher D.
Published: (2023)
On the Approximation Accuracy of Gaussian Variational Inference
by: Katsevich, Anya, et al.
Published: (2023)
by: Katsevich, Anya, et al.
Published: (2023)
Semiparametric Bernstein-von Mises theorems for reversible diffusions
by: Giordano, Matteo, et al.
Published: (2025)
by: Giordano, Matteo, et al.
Published: (2025)
Bernstein-von Mises theorem for log-concave posteriors
by: Brunel, Victor-Emmanuel
Published: (2026)
by: Brunel, Victor-Emmanuel
Published: (2026)
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
by: Sarkar, Partha, et al.
Published: (2023)
by: Sarkar, Partha, et al.
Published: (2023)
Bernstein-von Mises for Adaptively Collected Data
by: Du, Kevin, et al.
Published: (2025)
by: Du, Kevin, et al.
Published: (2025)
Early Highlights in the History of the Bernstein-von Mises Theorem
by: Fischer, Hans
Published: (2025)
by: Fischer, Hans
Published: (2025)
Asymptotic efficiency of inferential models and a possibilistic Bernstein--von Mises theorem
by: Martin, Ryan, et al.
Published: (2024)
by: Martin, Ryan, et al.
Published: (2024)
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)
by: Li, Hanqing, et al.
Published: (2026)
Large-sample theory for inferential models: a possibilistic Bernstein--von Mises theorem
by: Martin, Ryan, et al.
Published: (2024)
by: Martin, Ryan, et al.
Published: (2024)
Bernstein-von Mises theorems for time evolution equations
by: Nickl, Richard
Published: (2024)
by: Nickl, Richard
Published: (2024)
Semi-parametric Bernstein-von Mises in Linear Inverse Problems
by: Magra, Adel, et al.
Published: (2023)
by: Magra, Adel, et al.
Published: (2023)
Online Bernstein-von Mises theorem
by: Lee, Jeyong, et al.
Published: (2025)
by: Lee, Jeyong, et al.
Published: (2025)
Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
by: Martinez-Taboada, Diego, et al.
Published: (2026)
by: Martinez-Taboada, Diego, et al.
Published: (2026)
Misspecified Bernstein-Von Mises theorem for hierarchical models
by: Koers, Geerten, et al.
Published: (2023)
by: Koers, Geerten, et al.
Published: (2023)
The saddlepoint approximation for averages of conditionally independent random variables
by: Niu, Ziang, et al.
Published: (2024)
by: Niu, Ziang, et al.
Published: (2024)
Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2025)
by: Gili, Francesco, et al.
Published: (2025)
The Bernstein-von Mises theorem and efficiency for semiparametric inference in multivariate Hawkes processes
by: Duverger, Mael, et al.
Published: (2026)
by: Duverger, Mael, et al.
Published: (2026)
The spectrum of perturbed (3, 10) minimal model
by: Katsevich, Andrei
Published: (2024)
by: Katsevich, Andrei
Published: (2024)
The Bernstein-von Mises theorem for Bayesian one-pass online learning
by: Lee, Jeyong, et al.
Published: (2026)
by: Lee, Jeyong, et al.
Published: (2026)
Location Tests with Noisy Proxies for Latent Variables
by: Deutsch, Louis, et al.
Published: (2025)
by: Deutsch, Louis, et al.
Published: (2025)
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
by: Kasprzak, Mikołaj J., et al.
Published: (2022)
by: Kasprzak, Mikołaj J., et al.
Published: (2022)
Power of masking methods for adaptive testing in a multivariate normal means problem
by: Chakraborty, Abhinav, et al.
Published: (2026)
by: Chakraborty, Abhinav, et al.
Published: (2026)
Bernstein-type dimension-free concentration for self-normalised martingales
by: Akhavan, Arya, et al.
Published: (2025)
by: Akhavan, Arya, et al.
Published: (2025)
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
by: Yan, Hao, et al.
Published: (2025)
by: Yan, Hao, et al.
Published: (2025)
Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem
by: Kim, Jiwoong
Published: (2017)
by: Kim, Jiwoong
Published: (2017)
Similar Items
-
The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment
by: Katsevich, Anya
Published: (2023) -
The Laplace asymptotic expansion in high dimensions
by: Katsevich, Anya
Published: (2024) -
Tight Bounds on the Laplace Approximation Accuracy in High Dimensions
by: Katsevich, Anya
Published: (2023) -
A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems
by: Katsevich, Anya, et al.
Published: (2025) -
High-dimensional Laplace asymptotics up to the concentration threshold
by: Katsevich, Alexander, et al.
Published: (2026)