{"product_id":"graphical-models-with-r-paperback","title":"Graphical Models with R - Paperback","description":"\u003cp\u003eby \u003cb\u003eSøren Højsgaard\u003c\/b\u003e (Author), \u003cb\u003eDavid Edwards\u003c\/b\u003e (Author), \u003cb\u003eSteffen Lauritzen\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGraphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGraphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.\u003c\/p\u003e\u003cp\u003eSøren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University.\u003c\/p\u003e\u003cp\u003eDavid Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University.\u003c\/p\u003e\u003cp\u003eSteffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSøren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University.\u003c\/p\u003e\u003cp\u003eDavid Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University.\u003c\/p\u003e\u003cp\u003eSteffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 182\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 18, 2012\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42740166787135,"sku":"9781461422983","price":174.94,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/1d7ec0c80a4340f39777c23e9cc3845d.webp?v=1765159130","url":"https:\/\/dhlswag.com\/products\/graphical-models-with-r-paperback","provider":"BBB","version":"1.0","type":"link"}