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Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo., , and . Stat. Comput., 21 (4): 555-568 (2011)An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial., , , , , and . Appl. Artif. Intell., 34 (14): 1100-1114 (2020)A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis., , and . CoRR, (2018)Finding authorities and hubs from link structures on the World Wide Web., , , and . WWW, page 415-429. ACM, (2001)Stochastic simulation of sequential game-theory voting models.. Communications in Statistics - Simulation and Computation, 47 (7): 2040-2054 (2018)A note on geometric ergodicity and floating-point roundoff error, , and . Statist. Probab. Lett., 53 (2): 123--127 (2001)Optimal scaling for various Metropolis-Hastings algorithms, and . Statist. Sci., 16 (4): 351--367 (2001)The polar slice sampler, and . Stoch. Models, 18 (2): 257--280 (2002)Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms, and . J. Appl. Probab., 44 (2): 458--475 (2007)Achieving limiting distributions for Markov chains using back buttons, and . Stat. Comput., 14 (2): 131--141 (2004)