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Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods., , , , , , и . NeuroImage, 35 (2): 669-685 (2007)Iterative Supervised Principal Components., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 106-114. PMLR, (2018)ELFI: Engine for Likelihood-Free Inference., , , , , , , , , и . J. Mach. Learn. Res., (2018)Gaussian processes with monotonicity information., и . AISTATS, том 9 из JMLR Proceedings, стр. 645-652. JMLR.org, (2010)Chained Gaussian Processes., , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1431-1440. JMLR.org, (2016)What are the most important statistical ideas of the past 50 years?, и . (2020)cite arxiv:2012.00174.Hamiltonian Monte Carlo using an embedded Laplace approximation, , , и . (2020)cite arxiv:2004.12550Comment: 16 pages, 12 figures.Bayesian Data Analysis, , , , , и . (2020)Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER., , , , , , и . NeuroImage, 60 (2): 1517-1527 (2012)Expectation propagation for nonstationary heteroscedastic Gaussian process regression., , и . MLSP, стр. 1-6. IEEE, (2014)