{"product_id":"9783658083922","title":"BestMasters","description":"\u003ch1\u003eBestMasters\u003c\/h1\u003e \u003ch2\u003eKaeding, Matthias\u003c\/h2\u003e \u003cp\u003eMatthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and\/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer Spektrum\u003c\/p\u003e \u003cp\u003ePublication Date: 2015-01-12\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783658083922\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-658-08393-9\u003c\/p\u003e \u003cp\u003eDimensions: 210cm x148cm\u003c\/p\u003e \u003cp\u003ePages: 110\u003c\/p\u003e ","brand":"Springer Fachmedien Wiesbaden","offers":[{"title":"Default Title","offer_id":47409196793996,"sku":"9783658083922","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783658083922.jpg?v=1775834918","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783658083922","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}