Mixtures: Estimation and Applications out!
The book I co-edited with Kerrie Mengersen and Mike Titterington, Mixture: Estimation and Applications, has just been published by Wiley! It is a pleasure to flip through the chapters contributed by the participants to the ICMS workshop of about a year ago in Edinburgh. While there may (must) be residual typos, I did not spot any obvious mishap in the production of figures and Buachaille Etive Beag proudly stands on the cover (despite contrary advice from some ‘Og readers). It is also a pleasure to have this book published in the same series as references like Titterington, Smith and Makov’s Statistical Analysis of Finite Mixture Distributions, and McLachlan and Peel’s Finite Mixture Model. (The “product description” on amazon does not start very well, though: “This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete.” It fortunately improves by reproducing the back cover.)