Cover Image

Efficient sampling of non log-concave posterior distributions with mixture of noises

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Palud, Pierre, Thouvenin, Pierre-Antoine, Chainais, Pierre, Bron, Emeric, Petit, Franck Le
Format:	Preprint
Published:	2022
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
by: Bouton, Maxime, et al.
Published: (2025)

Time and covariance smoothing for restoration of bivariate signals
by: Pilavci, Yusuf Yigit, et al.
Published: (2025)

Denoising bivariate signals via smoothing and polarization priors
by: Pilavci, Yusuf Yigit, et al.
Published: (2025)

Scalable random number generation for truncated log-concave distributions
by: Miniato, Lambardi di San, et al.
Published: (2022)

Doubly robust estimation and inference for a log-concave counterfactual density
by: Ham, Daeyoung, et al.
Published: (2024)

On measures strongly log-concave on a subspace
by: Bizeul, Pierre
Published: (2022)

Spectral gap of Metropolis-within-Gibbs under log-concavity
by: Secchi, Cecilia, et al.
Published: (2025)

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
by: Szwagier, Tom, et al.
Published: (2025)

On the posterior property of the Rician distribution
by: Quispe, Jesus Enrique Achire, et al.
Published: (2024)

Bayesian estimation of a multivariate TAR model when the noise process distribution belongs to the class of Gaussian variance mixtures
by: Vanegas, L. H., et al.
Published: (2025)

Efficient Online Variational Estimation via Monte Carlo Sampling
by: Chagneux, Mathis, et al.
Published: (2026)

Laplace and skew-Laplace approximations for Dirichlet process mixture posterior density
by: Franzolini, Beatrice, et al.
Published: (2026)

Importance sampling for online variational learning
by: Chagneux, Mathis, et al.
Published: (2024)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021)

When Knockoffs fail: diagnosing and fixing non-exchangeability of Knockoffs
by: Blain, Alexandre, et al.
Published: (2024)

Hierarchical shot-noise Cox process mixtures for clustering across groups
by: Carminati, Alessandro, et al.
Published: (2025)

regMMD: An R package for parametric estimation and regression with maximum mean discrepancy
by: Alquier, Pierre, et al.
Published: (2025)

Bias versus variance when fitting multi-species molecular lines with a non-LTE radiative transfer model
by: Roueff, Antoine, et al.
Published: (2024)

Cure models: from mixture to matrix distributions
by: Bladt, Martin, et al.
Published: (2026)

Generalized mixtures of finite mixtures and telescoping sampling
by: Frühwirth-Schnatter, Sylvia, et al.
Published: (2020)

The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
by: Boutin, Rémi, et al.
Published: (2024)

Unbiased Markov Chain Monte Carlo: what, why, and how
by: Atchadé, Yves F., et al.
Published: (2024)

Constrained mixtures of generalized normal distributions
by: Duttilo, Pierdomenico, et al.
Published: (2025)

Estimating Program Participation with Partial Validation
by: Denteh, Augustine, et al.
Published: (2025)

Properly constrained reference priors decay rates for efficient and robust posterior inference
by: Van Biesbroeck, Antoine
Published: (2024)

Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)

Efficient posterior sampling for high-dimensional imbalanced logistic regression
by: Sen, Deborshee, et al.
Published: (2019)

Reconciling Binary Replicates: Beyond the Average
by: Royer-Carenzi, Manuela, et al.
Published: (2025)

Estimation of time series by Maximum Mean Discrepancy
by: Alquier, Pierre, et al.
Published: (2026)

A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)

Screening the Discrepancy Function of a Computer Model
by: Barbillon, Pierre, et al.
Published: (2021)

Skew-symmetric approximations of posterior distributions
by: Pozza, Francesco, et al.
Published: (2024)

Robust classification via finite mixtures of matrix-variate skew t distributions
by: Mahdavi, Abbas, et al.
Published: (2024)

Lasso regularization for mixture experiments with noise variables
by: González-Navarrete, Manuel, et al.
Published: (2024)

Disentangling the structure of ecological bipartite networks from observation processes
by: Anakok, Emre, et al.
Published: (2022)

Global Sensitivity Analysis: a novel generation of mighty estimators based on rank statistics
by: Gamboa, Fabrice, et al.
Published: (2026)

Bounding causal effects with an unknown mixture of informative and non-informative missingness
by: Rubinstein, Max, et al.
Published: (2024)

Automatic Quality Control for Agricultural Field Trials -- Detection of Nonstationarity in Grid-indexed Data
by: Wolf, Karen, et al.
Published: (2025)

Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)

Ecient spatial designs for targeted regions or level set detection
by: Coly, Sylvain, et al.
Published: (2024)