{"title":"Kerrie L Mengersen","description":null,"products":[{"product_id":"mixtures-book-kerrie-l-mengersen-9781119993896","title":"Mixtures","description":"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.  The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50371865674001,"sku":"CIN111999389XG","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/111999389X.jpg?v=1750709972"},{"product_id":"case-studies-in-applied-bayesian-data-science-book-kerrie-l-mengersen-9783030425524","title":"Case Studies in Applied Bayesian Data Science","description":"Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.     The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields. While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution.    The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52686437450001,"sku":"NLS9783030425524","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030425524.jpg?v=1762328032"}],"url":"https:\/\/www.worldofbooks.com\/de-de\/collections\/autor-buecher-von-kerrie-l-mengersen.oembed","provider":"World of Books ","version":"1.0","type":"link"}