Semiparametric Bernstein-von Mises theorems for reversible diffusions
Fuente:
arXiv
Saved in:
| Main Authors: | Giordano, Matteo, Ray, Kolyan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020)
by: Giordano, Matteo, et al.
Published: (2020)
The Bernstein-von Mises theorem for Semiparametric Mixtures
by: Franssen, Stefan, et al.
Published: (2024)
by: Franssen, Stefan, et al.
Published: (2024)
Bernstein-von Mises theorem for log-concave posteriors
by: Brunel, Victor-Emmanuel
Published: (2026)
by: Brunel, Victor-Emmanuel
Published: (2026)
Variational Bernstein-von Mises theorem with increasing parameter dimension
by: Yan, Jiawei, et al.
Published: (2025)
by: Yan, Jiawei, et al.
Published: (2025)
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)
Skewed Bernstein-von Mises theorem and skew-modal approximations
by: Durante, Daniele, et al.
Published: (2023)
by: Durante, Daniele, et al.
Published: (2023)
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 theorems for time evolution equations
by: Nickl, Richard
Published: (2024)
by: Nickl, Richard
Published: (2024)
Semiparametric inference using fractional posteriors
by: L'Huillier, Alice, et al.
Published: (2023)
by: L'Huillier, Alice, et al.
Published: (2023)
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)
Online Bernstein-von Mises theorem
by: Lee, Jeyong, et al.
Published: (2025)
by: Lee, Jeyong, et al.
Published: (2025)
Bernstein-von Mises for Adaptively Collected Data
by: Du, Kevin, et al.
Published: (2025)
by: Du, Kevin, 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)
Misspecified Bernstein-Von Mises theorem for hierarchical models
by: Koers, Geerten, et al.
Published: (2023)
by: Koers, Geerten, et al.
Published: (2023)
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)
Nonparametric Bayesian estimation in a multidimensional diffusion model with high frequency data
by: Hoffmann, Marc, et al.
Published: (2022)
by: Hoffmann, Marc, et al.
Published: (2022)
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)
Valid Credible Ellipsoids for Linear Functionals by a Renormalized Bernstein-von Mises Theorem
by: Rømer, Gustav
Published: (2024)
by: Rømer, Gustav
Published: (2024)
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)
Improved dimension dependence in the Bernstein von Mises Theorem via a new Laplace approximation bound
by: Katsevich, Anya
Published: (2023)
by: Katsevich, Anya
Published: (2023)
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)
Semi-parametric Bernstein-von Mises in Linear Inverse Problems
by: Magra, Adel, et al.
Published: (2023)
by: Magra, Adel, et al.
Published: (2023)
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)
Bayesian Nonparametric Inference in McKean-Vlasov models
by: Nickl, Richard, et al.
Published: (2024)
by: Nickl, Richard, et al.
Published: (2024)
Early Highlights in the History of the Bernstein-von Mises Theorem
by: Fischer, Hans
Published: (2025)
by: Fischer, Hans
Published: (2025)
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)
by: Li, Hanqing, et al.
Published: (2026)
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
by: Castillo, Ismaël, et al.
Published: (2024)
by: Castillo, Ismaël, et al.
Published: (2024)
Bayesian inference with Besov-Laplace priors for spatially inhomogeneous binary classification surfaces
by: Giordano, Matteo
Published: (2025)
by: Giordano, Matteo
Published: (2025)
Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation
by: Giordano, Matteo
Published: (2023)
by: Giordano, Matteo
Published: (2023)
Bayesian Inference for Initial Heat States with Gaussian Series Priors
by: Giordano, Matteo
Published: (2025)
by: Giordano, Matteo
Published: (2025)
A Bayesian approach with Gaussian priors to the inverse problem of source identification in elliptic PDEs
by: Giordano, Matteo
Published: (2024)
by: Giordano, Matteo
Published: (2024)
Gaussian Process Methods for Covariate-Based Intensity Estimation
by: Dolmeta, Patric, et al.
Published: (2025)
by: Dolmeta, Patric, et al.
Published: (2025)
Hierarchical Besov-Laplace priors for spatially inhomogeneous binary classification
by: Dolmeta, Patric, et al.
Published: (2025)
by: Dolmeta, Patric, et al.
Published: (2025)
Asymptotic efficiency for Sobol' and Cram{é}r-von Mises indices under two designs of experiments
by: Klein, Thierry, et al.
Published: (2024)
by: Klein, Thierry, et al.
Published: (2024)
A nonparametric Bayesian analysis of independent and identically distributed observations of covariate-driven Poisson processes
by: Dolmeta, Patric, et al.
Published: (2025)
by: Dolmeta, Patric, et al.
Published: (2025)
Increasing domain asymptotics for covariate-based nonparametric Bayesian intensity estimation with Gaussian and Besov-Laplace priors
by: Dolmeta, Patric, et al.
Published: (2026)
by: Dolmeta, Patric, et al.
Published: (2026)
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)
On strong posterior contraction rates for Besov-Laplace priors in the white noise model
by: Dolera, Emanuele, et al.
Published: (2024)
by: Dolera, Emanuele, et al.
Published: (2024)
Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes
by: Giordano, Matteo, et al.
Published: (2023)
by: Giordano, Matteo, et al.
Published: (2023)
Similar Items
-
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020) -
The Bernstein-von Mises theorem for Semiparametric Mixtures
by: Franssen, Stefan, et al.
Published: (2024) -
Bernstein-von Mises theorem for log-concave posteriors
by: Brunel, Victor-Emmanuel
Published: (2026) -
Variational Bernstein-von Mises theorem with increasing parameter dimension
by: Yan, Jiawei, et al.
Published: (2025) -
Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
by: Walker, Christopher D.
Published: (2023)