{"product_id":"bayesian-regression-modeling-with-inla-9781498727259","title":"Bayesian Regression Modeling with Inla","description":"\u003cp\u003e • Author(s): Xiaofeng Wang\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eINLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.\u003c\/p\u003e\u003cp\u003eBayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.\u003c\/p\u003e\u003cp\u003eThe book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eXiaofeng Wang\u003c\/strong\u003e is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eYu Ryan Yue\u003c\/strong\u003e is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eJulian J. Faraway\u003c\/strong\u003e is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":45033092907159,"sku":"9781498727259","price":8228.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781498727259.webp?v=1769209005","url":"https:\/\/atlanticbooks.com\/products\/bayesian-regression-modeling-with-inla-9781498727259","provider":"Atlantic Books","version":"1.0","type":"link"}