“In my opinion, the editors have done an excellent job when selecting the contents of the handbook and putting the different chapters together. For instance, this can be appreciated by the fact that, despite the large number of authors and contributions, all chapters have kept the same notation. Furthermore, in addition to a sound description of the underlying theory and methods, several chapters include information about how to fit the presented models using the R programming language. However, I missed pointers to repositories to download the code and datasets for some of the examples used in the book. To sum up, this is an excellent reference book on mixture models.” Virgilio Gómez-Rubio, JRSS A, 2021
Archive for Journal of the Royal Statistical Society
handbook of mixture analysis [review]
Posted in Books, R, Statistics with tags book review, Chapman & Hall, CRC Press, handbook of mixture analysis, Journal of the Royal Statistical Society, mixture analysis, mixtures of distributions, R, reference, Series A on March 19, 2021 by xi'ancongrats, Håvard!!!
Posted in Statistics with tags approximate Bayesian inference, computational statistics, Gaussian Markov fields, Guy Medal, honours, INLA, Journal of the Royal Statistical Society, JRSSB, Laplace approximation, R-INLA, Royal Statistical Society, software on March 4, 2021 by xi'an
right place, wrong version
Posted in Statistics with tags ABC, Approximate Bayesian computation, copyediting, HAL, Helvetica, Journal of the Royal Statistical Society, Royal Statistical Society, Series B, typos, Wasserstein distance on August 12, 2020 by xi'an
misspecified [but published!]
Posted in Statistics with tags ABC, Approximate Bayesian computation, Journal of the Royal Statistical Society, JRSSB, misspecified model, Series B on April 1, 2020 by xi'an
unbiased MCMC discussed at the RSS tomorrow night
Posted in Books, Kids, pictures, Statistics, Travel, University life with tags AABI, coupling, discussion paper, Journal of the Royal Statistical Society, Markov chain Monte Carlo algorithm, MCMC, Read paper, Royal Statistical Society, Series B, unbiasedness, Université Paris Dauphine, Vancouver on December 10, 2019 by xi'an
The paper ‘Unbiased Markov chain Monte Carlo methods with couplings’ by Pierre Jacob et al. will be discussed (or Read) tomorrow at the Royal Statistical Society, 12 Errol Street, London, tomorrow night, Wed 11 December, at 5pm London time. With a pre-discussion session at 3pm, involving Chris Sherlock and Pierre Jacob, and chaired by Ioanna Manolopoulou. While I will alas miss this opportunity, due to my trip to Vancouver over the weekend, it is great that that the young tradition of pre-discussion sessions has been rekindled as it helps put the paper into perspective for a wider audience and thus makes the more formal Read Paper session more profitable. As we discussed the paper in Paris Dauphine with our graduate students a few weeks ago, we will for certain send one or several written discussions to Series B!
