{"product_id":"principles-and-methods-for-data-science-hardback-9780444642110","title":"Principles and Methods for Data Science (Hardback) 9780444642110","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePrinciples and Methods for Data Science\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eEdited by two of the best scientists in the field, this series presents the latest updates in statistics\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eArni S.R. Srinivasa Rao (Volume editor), C.R. Rao (Volume editor)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780444642110, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 27 May 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e496 pages\u003cbr\u003e22.9 x 15.1 x 3 cm, 0.98 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003ePrinciples and Methods for Data Science, Volume 43\u003c\/i\u003e in the \u003ci\u003eHandbook of Statistics \u003c\/i\u003eseries, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003col\u003e \u003col\u003e\n\u003cb\u003e \u003cli\u003eMarkov chain Monte Carlo methods: Theory and practice\u003c\/li\u003e\u003c\/b\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003eDavid A. Spade\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAn information and statistical analysis pipeline for microbial metagenomic sequencing data\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eShinji Nakaoka and Keisuke Ohta\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eMachine learning algorithms, applications, and practices in data science\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eKalidas Yeturu\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eBayesian model selection for high-dimensional data\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eNaveen Naidu Narisetty\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eCompeting risks: Aims and methods\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eRonald Geskus\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eHigh-dimensional statistical inference: Theoretical development to data analytics \u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eDeepak Nag Ayyala\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eBig data challenges in genomics\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eHongyan Xu\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAnalysis of microarray gene expression data using information theory and stochastic algorithm\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eNarayan Behera\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eHuman life expectancy is computed from an incomplete sets of data: Modeling and analysis\u003c\/li\u003e \u003ci\u003e \u003c\/i\u003e\u003cp\u003eArni S.R. Srinivasa Rao and James R. Carey\u003c\/p\u003e\n\u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eSupport vector machines: A robust prediction method with applications in bioinformatics\u003c\/li\u003e \u003c\/ol\u003e\n\u003c\/ol\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eArnout Van Messem\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Stochastics [\u003ca title=\"See our other books on Stochastics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Stochastics%20%5BPBWL%5D%22\"\u003ePBWL\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"North Holland","offers":[{"title":"Default Title","offer_id":46651520680216,"sku":"9780444642110","price":172.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780444642110_3ea86058-0ce0-470a-82a9-555cc9e71058.jpg?v=1694987374","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/principles-and-methods-for-data-science-hardback-9780444642110","provider":"Freshly Printed Books","version":"1.0","type":"link"}