{"product_id":"9780367183738-sparse-graphical-modeling-for-high-dimen","title":"Sparse Graphical Modeling for High Dimensional Data","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eA Paradigm of Conditional Independence Tests\u003cbr\u003e\u003cp\u003eThis book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003eThis book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison; unified treatments for missing data and heterogeneous data; efficient methods for joint estimation of multiple graphical models; effective methods of high-dimensional variable selection; and effective methods of high-dimensional inference. The methods possess an embarrassingly parallel structure in performing conditional independence tests, and the computation can be significantly accelerated by running in parallel on a multi-core computer or a parallel architecture. This book is intended to serve researchers and scientists interested in high-dimensional statistics, and graduate students in broad data science disciplines.\u003c\/p\u003e\n\u003cp\u003eKey Features:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eA general framework for learning sparse graphical models with conditional independence tests\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eComplete treatments for different types of data, Gaussian, Poisson, multinomial, and mixed data\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eUnified treatments for data integration, network comparison, and covariate adjustment\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eUnified treatments for missing data and heterogeneous data\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eEfficient methods for joint estimation of multiple graphical models\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eEffective methods of high-dimensional variable selection\u003c\/li\u003e\n\u003cli\u003eEffective methods of high-dimensional inference\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":40929775878241,"sku":"9780367183738","price":128.33,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_28056243.jpg?v=1760340002","url":"https:\/\/www.rarewaves.com\/products\/9780367183738-sparse-graphical-modeling-for-high-dimen","provider":"Rarewaves.com","version":"1.0","type":"link"}