Image de couverture de livre

Zeroth-order parallel sampling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pozza, Francesco, Zanella, Giacomo
Format:	Preprint
Publié:	2026
Sujets:	Computation Statistics Theory Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
par: Pozza, Francesco, et autres
Publié: (2024)

Skew-symmetric approximations of posterior distributions
par: Pozza, Francesco, et autres
Publié: (2024)

Skewed Bernstein-von Mises theorem and skew-modal approximations
par: Durante, Daniele, et autres
Publié: (2023)

Conjugate gradient methods for high-dimensional GLMMs
par: Pandolfi, Andrea, et autres
Publié: (2024)

Spectral gap of Metropolis-within-Gibbs under log-concavity
par: Secchi, Cecilia, et autres
Publié: (2025)

Bayesian Discrepancy Measure: Higher-order and Skewed approximations
par: Bortolato, Elena, et autres
Publié: (2025)

Network signflip parallel analysis for selecting the embedding dimension
par: Hong, David, et autres
Publié: (2025)

Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold
par: Ham, Dae Woong, et autres
Publié: (2022)

Central limit theorems for interacting innovation processes, related statistical tools and general results
par: Aletti, Giacomo, et autres
Publié: (2025)

On perfect sampling: ROCFTP with Metropolis-multishift coupler
par: Nabipoor, Majid
Publié: (2025)

Exact two-stage finite-mixture representations for species sampling processes
par: Mena, Ramsés H., et autres
Publié: (2025)

Confidence set for mixture order selection
par: Casa, Alessandro, et autres
Publié: (2025)

An easily verifiable dispersion order for discrete distributions
par: Eberl, Andreas, et autres
Publié: (2025)

Priors for second-order unbiased Bayes estimators
par: Sakai, Mana, et autres
Publié: (2024)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
par: He, Ye, et autres
Publié: (2024)

Copula-based models for correlated circular data
par: Lagona, Francesco, et autres
Publié: (2024)

Ergodic Network Stochastic Differential Equations
par: Iafrate, Francesco, et autres
Publié: (2024)

Strang Splitting for Parametric Inference in Second-order Stochastic Differential Equations
par: Pilipovic, Predrag, et autres
Publié: (2024)

Exchangeable random permutations with an application to Bayesian graph matching
par: Gaffi, Francesco, et autres
Publié: (2026)

Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
par: Wang, Peng, et autres
Publié: (2022)

On randomized step sizes in Metropolis-Hastings algorithms
par: Grazzi, Sebastiano, et autres
Publié: (2026)

Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
par: Sabbagh, Magid, et autres
Publié: (2026)

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

Marginal likelihoods for finite-support Huber contamination
par: Kim, Jaehoan
Publié: (2026)

HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
par: Hou, Yilong, et autres
Publié: (2026)

A variational framework for modal estimation
par: LeMinh, Tâm, et autres
Publié: (2026)

Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
par: Mai, The Tien, et autres
Publié: (2026)

Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
par: Paulichen, Thiago, et autres
Publié: (2026)

Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
par: Aletti, Giacomo, et autres
Publié: (2023)

A Framework for Statistical Inference via Randomized Algorithms
par: Zhang, Zhixiang, et autres
Publié: (2023)

SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
par: Wu, Dingbo, et autres
Publié: (2025)

Self-Organizing State-Space Models with Artificial Dynamics
par: Chen, Yuan, et autres
Publié: (2024)

Inference in the $p_0$ model for directed networks under local differential privacy
par: Sun, Xueying, et autres
Publié: (2025)

Pooling information in likelihood-free inference
par: Frazier, David T., et autres
Publié: (2022)

Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
par: Legramanti, Sirio, et autres
Publié: (2022)

LASPATED: a Library for the Analysis of SPAtio-TEmporal Discrete data
par: Guigues, Vincent, et autres
Publié: (2024)

Fiducial inference for partially identified parameters with applications to instrumental variable models
par: Cui, Yifan, et autres
Publié: (2025)

Bayesian Geostatistics Using Predictive Stacking
par: Zhang, Lu, et autres
Publié: (2023)

A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
par: Chakraborty, Saptarshi, et autres
Publié: (2024)

Posterior risk of modular and semi-modular Bayesian inference
par: Frazier, David T., et autres
Publié: (2023)