Julien Stoehr

Publications

Article dans une revue (8)

Composite likelihood inference for the Poisson log-normal model Julien Stoehr,Stephane S. Robin Statistics and Computing, 2026, 36 (1), pp.55. ⟨10.1007/s11222-025-10797-2⟩ Article dans une revue hal-04471802v3
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model Bastien Batardière,Julien Chiquet,Joon Kwon,Julien Stoehr Electronic Journal of Statistics , 2025, 19 (1), ⟨10.1214/25-EJS2384⟩ Article dans une revue hal-04712554v4
Simulating signed mixtures Christian Robert,Julien Stoehr Statistics and Computing, 2024, 35 (1), pp.9. ⟨10.1007/s11222-024-10539-w⟩ Article dans une revue hal-04423887v2
Component-wise approximate Bayesian computation via Gibbs-like steps Grégoire Clarté,Christian Robert,Robin Ryder,Julien Stoehr Biometrika, 2021, 108 (3), pp.591-607. ⟨10.1093/biomet/asaa090⟩ Article dans une revue hal-02274914v1
Component-wise approximate Bayesian computation via Gibbs-like steps Grégoire Clarté,Christian Robert,Robin Ryder,Julien Stoehr Biometrika, 2020, 108 (3), pp.591-607. ⟨10.1093/biomet/asaa090⟩ Article dans une revue hal-02393277v1
Noisy Hamiltonian Monte Carlo for Doubly Intractable Distributions Julien Stoehr,Alan P Benson,Nial Friel Journal of Computational and Graphical Statistics, 2018, pp.1-13 Article dans une revue hal-01969085v1
Hidden Gibbs random fields model selection using Block Likelihood Information Criterion Julien Stoehr,Jean‐michel Marin,Pierre Pudlo Stat, 2016, 5, pp.158-172. ⟨10.1002/sta4.112⟩ Article dans une revue hal-01330202v1
Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields Julien Stoehr,Pierre Pudlo,Lionel Cucala Statistics and Computing, 2014, 25 (1), pp.129 - 141. ⟨10.1007/s11222-014-9514-9⟩ Article dans une revue hal-00942797v2

Pré-publication, Document de travail (5)

Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms Antoine Godichon-Baggioni,Gabriel Lang,Sylvain Le Corff,Julien Stoehr,Sobihan Surendran 2026 Pré-publication, Document de travail hal-05484300v1
Entropic Mirror Monte Carlo Anas Cherradi,Yazid Janati,Alain Durmus,Sylvain Le Corff,Yohan Petetinet al. 2026 Pré-publication, Document de travail hal-05486036v1
Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation Paul Bastide,Arnaud Estoup,Jean-Michel Marin,Julien Stoehr 2025 Pré-publication, Document de travail hal-05344266v1
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale Changye Wu,Julien Stoehr,Christian Robert 2019 Pré-publication, Document de travail hal-01968770v1
A review on statistical inference methods for discrete Markov random fields Julien Stoehr,Richard Everitt,Matthew T. Moores 2017 Pré-publication, Document de travail hal-01462078v2