{"product_id":"bayesian-missing-data-problems-em-data-augmentation-and-noniterative-computation-9780367385309","title":"Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation","description":"\u003cp\u003eThis book presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors, based on the inverse Bayes formulae. The authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms. They describe Monte Carlo simulation, numerical techniques, and optimization methods. The book illustrates the methods with biostatistical models and real-world applications, including mixed effects and hierarchical models, nonresponse and contingency tables, and the constrained parameter problem reformulated as a missing data problem.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ming T. Tan,Guo-Liang Tian,Kai Wang Ng\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/04\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 346\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.55lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.20h x 6.10w x 0.80d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780367385309\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMing T. Tan\u003c\/strong\u003e is Professor of Biostatistics in the Department of Epidemiology and Preventive Medicine at the University of Maryland School of Medicine and Director of the Division of Biostatistics at the University of Maryland Greenebaum Cancer Center.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGuo-Liang Tian\u003c\/strong\u003e is Associate Professor in the Department of Statistics and Actuarial Science at the University of Hong Kong. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKai Wang Ng\u003c\/strong\u003e is Professor and Head of the Department of Statistics and Actuarial Science at the University of Hong Kong.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Paperback","offer_id":45461308637299,"sku":"9780367385309","price":161.3,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_91da2845-e7a1-49f0-9c14-04f298ae0bd8.jpg?v=1788864765","url":"https:\/\/bookstorenmore.com\/products\/bayesian-missing-data-problems-em-data-augmentation-and-noniterative-computation-9780367385309","provider":"Bookstore N More","version":"1.0","type":"link"}