Metodiev M (2026). _thamesblock: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Block Models_. doi:10.32614/CRAN.package.thamesblock <https://doi.org/10.32614/CRAN.package.thamesblock>, R package version 0.1.0, <https://CRAN.R-project.org/package=thamesblock>.
Martin Metodiev. Marie Perrot-Dockès. Sarah Ouadah. Bailey K. Fosdick. Stéphane Robin. Pierre Latouche. Adrian E. Raftery. "A structured estimator for large covariance matrices in the presence of pairwise and spatial covariates." Ann. Appl. Stat. 20 (2) 1736 - 1765, June 2026. https://doi.org/10.1214/26-AOAS2183
Metodiev M, Perrot-Dockès M, Robin S (2025). _scov: Structured Covariances Estimators for Pairwise and Spatial Covariates_. doi:10.32614/CRAN.package.scov <https://doi.org/10.32614/CRAN.package.scov>, R package version 0.1.2, <https://CRAN.R-project.org/package=scov>.
Metodiev M, Irons N, Perrot-Dockès M (2025). _thamesmix: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Mixtures_. R package version 0.1.2, commit 5bf05daec1f8922589f6cb53eec54b0c8cb07716, <https://github.com/M-crypto645/thamesmix>.
Irons N, Perrot-Dockès M, Metodiev M (2025). _thames: Truncated Harmonic Mean Estimator of the Marginal Likelihood_. doi:10.32614/CRAN.package.thames <https://doi.org/10.32614/CRAN.package.thames>, R package version 0.1.2, <https://CRAN.R-project.org/package=thames>
Martin Metodiev, Nicholas J. Irons, Marie Perrot-Dockès, Pierre Latouche, Adrian E. Raftery. "Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator." arXiv preprint arXiv:2504.21812.
Metodiev, M., Marsman, M., Waldorp, L., Gronau, Q. F., & Wagenmakers, E. J. (2025). The Principle of Redundant Reflection. arXiv preprint arXiv:2503.21719.
Martin Metodiev, Marie Perrot-Dockès, Sarah Ouadah, Nicholas J. Irons, Pierre Latouche, Adrian E. Raftery. "Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator." Bayesian Analysis, 20(3) 1003-1030 September 2025.
Talk at Department of Mathematical and Statistical Sciences, University of Alberta, Alberta, Canada
Talk at Journées de Statistique de la SFdS, Clermont-Ferrand, France
Talk at Université Paris Cité, MAP5, Séminaire de Statistiques, Paris, France
Poster at Université Clermont Auvergne, Early-Career Researchers’ Day of the DATA Programme I-SITE CAP 20-25, Clermont-Ferrand, France
Talk at University College Dublin, UCD School of Mathematics and Statistics Seminars, Dublin, Ireland
Talk at Institut Henri Poincaré, All About that Bayes Seminar Series, Paris, France
Talk at Université Clermont Auvergne, séminaire des doctorants, Clermont-Ferrand, France
Poster at Université Côte d’Azur and Inria, Working Group on Model-Based Clustering, Sophia Antipolis, France
Talk at Université Clermont Auvergne, Workshop on Recent advances in stochastic algorithms, Clermont-Ferrand, France
Talk at Université Clermont Auvergne, Journées Scientifiques, Clermont-Ferrand, France
Talk at University of Oxford, Computational Statistics and Machine Learning Group, Oxford, United Kingdom
Talk at Groupe de Travail des Éphémères, Université Paris Cité, MAP5, Paris, France
Talk at University of Amsterdam, Bayesian Methods for the Social Sciences II, Amsterdam, The Netherlands
Poster at University of Bologna, Working Group on Model-Based Clustering, Bertinoro, Italy
Talk at Friedrich-Alexander-Universität Erlangen-Nürnberg, AG Stochastik, Erlangen, Germany
Talk at University of Washington, Working Group on Applied, Bayesian and Computational Statistics, Washington, United States
Talk at Université Clermont Auvergne, LMBP, seminaire des doctorants, Clermont-Ferrand, France
Talk at Groupe de Travail des Éphémères, Université Paris Cité, MAP5, Paris, France
Talk at Friedrich-Alexander-Universität Erlangen-Nürnberg, AG Stochastik, Erlangen, Germany