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Efficient Bayesian Inference for Generalized Bradley-Terry Models, и . (08.11.2010)An Introduction to MCMC for Machine Learning, , , и . Machine Learning, 50 (1--2): 5--43 (2003)A Tutorial on Particle Filtering and Smoothing : Fifteen years later, , и . (2008)Modular Meta-Learning with Shrinkage, , , , , , и . (2019)cite arxiv:1909.05557Comment: 14 pages (4 main, 8 supplement), under review.Sequential Bayesian wavelet denoising., и . ISSPA, стр. 595-598. IEEE, (1999)Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo., , и . ICASSP (3), стр. 640-643. IEEE, (2006)Derivative-Free Estimation of the Score Vector and Observed Information Matrix with Application to State-Space Models, , и . (2013)cite arxiv:1304.5768Comment: Technical report, 43 pages, 7 figures.Fast particle smoothing: if I had a million particles., , , , , и . ICML, том 148 из ACM International Conference Proceeding Series, стр. 481-488. ACM, (2006)Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme, , , и . (2019)cite arxiv:1905.02939Comment: 61 pages, 18 figures. The method is implemented in an open source probabilistic programming available at https://github.com/UBC-Stat-ML/blangSDK.Interacting Particle Markov Chain Monte Carlo., , , , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2616-2625. JMLR.org, (2016)