:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Atchadé, Yves F., Jacob, Pierre E.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2406.06851
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stereographic Markov Chain Monte Carlo
by: Yang, Jun, et al.
Published: (2022)

Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure
by: Hou, Tianrui, et al.
Published: (2024)

Gaussian Invariant Markov Chain Monte Carlo
by: Titsias, Michalis K., et al.
Published: (2025)

Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023)

Bayesian cross-validation by parallel Markov Chain Monte Carlo
by: Cooper, Alex, et al.
Published: (2023)

Chained Markov melding using divide and conquer sequential Monte Carlo
by: Liu, Yixuan, et al.
Published: (2026)

On the estimation rate of Bayesian PINN for inverse problems
by: Sun, Yi, et al.
Published: (2024)

Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
by: Chang, Jinyuan, et al.
Published: (2024)

Identification-aware Markov chain Monte Carlo
by: Kitagawa, Toru, et al.
Published: (2025)

Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
by: Wang, Yu, et al.
Published: (2026)

Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
by: Schär, Philip, et al.
Published: (2024)

Modular Markov chain Monte Carlo with application to multimodal sampling
by: Park, Joonha
Published: (2026)

Estimating Monte Carlo variance from multiple Markov chains
by: Gupta, Kushagra, et al.
Published: (2020)

Reversible jump Markov chain Monte Carlo and multi-model samplers
by: Fan, Yanan, et al.
Published: (2010)

Causal thinking for decision making on Electronic Health Records: why and how
by: Doutreligne, Matthieu, et al.
Published: (2023)

On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
by: Pozza, Francesco, et al.
Published: (2024)

Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)

An extension to reversible jump Markov chain Monte Carlo for change point problems with heterogeneous temporal dynamics
by: Gribbin, Emily, et al.
Published: (2026)

Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024)

Perturbations of Markov Chains
by: Rudolf, Daniel, et al.
Published: (2024)

Nested $\hat R$: Assessing the convergence of Markov chain Monte Carlo when running many short chains
by: Margossian, Charles C., et al.
Published: (2021)

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo
by: Corenflos, Adrien, et al.
Published: (2025)

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

Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
by: Zhong, Shijie, et al.
Published: (2024)

Monte Carlo Integration in Simple and Complex Simulation Designs
by: Naimi, Ashley I., et al.
Published: (2024)

Cross-validation: what does it estimate and how well does it do it?
by: Bates, Stephen, et al.
Published: (2021)

Sequential Monte-Carlo testing by betting
by: Fischer, Lasse, et al.
Published: (2024)

Fitting multivariate Hawkes processes to interval count data with an application to terrorist activity modelling -- a particle Markov chain Monte Carlo approach
by: Lambe, Jason J., et al.
Published: (2025)

Unbiased mixed variables distance
by: van de Velden, Michel, et al.
Published: (2024)

Monte Carlo and quasi-Monte Carlo integration for likelihood functions
by: Tang, Yanbo
Published: (2025)

Adaptive Penalized Likelihood method for Markov Chains
by: Zhou, Yining, et al.
Published: (2024)

Nonparametric Modeling of Continuous-Time Markov Chains
by: Monti, Filippo, et al.
Published: (2025)

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)

Entropic Mirror Monte Carlo
by: Cherradi, Anas, et al.
Published: (2026)

Sequential Markov Chain Monte Carlo for Lagrangian Data Assimilation with Applications to Unknown Data Locations
by: Ruzayqat, Hamza, et al.
Published: (2023)

Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)

Unbiased likelihood estimation of the Langevin diffusion for animal movement modelling
by: Togunov, Ron R., et al.
Published: (2025)

Multilevel Monte Carlo Metamodeling for Variance Function Estimation
by: Zhang, Jingtao, et al.
Published: (2025)

Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)

Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)