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Pierre-Aurelien Gilliot, Christophe Andrieu, Anthony Lee, Song Liu, and Michael Whitehouse's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning'.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2024, v. 86, n. 2, p. 318, doi. 10.1093/jrsssb/qkad161
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Particle Markov chain Monte Carlo methods.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2010, v. 72, n. 3, p. 269, doi. 10.1111/j.1467-9868.2009.00736.x
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- Article
Dicussion on the meeting on ‘Statistical approaches to inverse problems’.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2004, v. 66, n. 3, p. 627, doi. 10.1111/j.1467-9868.2004.2060d.x
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- Article
Particle filtering for partially observed Gaussian state space models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2002, v. 64, n. 4, p. 827, doi. 10.1111/1467-9868.00363
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- Article
Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information.
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- Medical Decision Making, 2022, v. 42, n. 2, p. 168, doi. 10.1177/0272989X211026305
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- Article
QUANTITATIVE CONVERGENCE RATES FOR SUBGEOMETRIC MARKOV CHAINS.
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- Journal of Applied Probability, 2015, v. 52, n. 2, p. 391, doi. 10.1239/jap/1437658605
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- Article
Optimal Estimation of Amplitude and Phase Modulated Signals.
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- Monte Carlo Methods & Applications, 2001, v. 7, n. 1/2, p. 1, doi. 10.1515/mcma.2001.7.1-2.1
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- Article