{"product_id":"advanced-spatial-modeling-with-stochastic-partial-differential-equations-using-r-and-inla-taylor-francis-ltd-9781138369856-elias-t-krainski","title":"Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA","description":"\u003cp\u003eExplore the cutting-edge techniques of Bayesian inference in \"Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA\" by Elias T. Krainski. Published by Taylor \u0026amp; Francis Ltd in 2018, this comprehensive hardback spans 298 pages and delves into the Integrated Nested Laplace Approximation (INLA) method, a powerful alternative to traditional approaches like Markov Chain Monte Carlo, which can be computationally intensive.\u003c\/p\u003e \n\n\u003cp\u003eThis book is designed for researchers and practitioners looking to enhance their understanding of stochastic processes and differential equations. The R-INLA package for R statistical software is thoroughly discussed, providing practical insights into fitting advanced models. Whether you're a seasoned statistician or a newcomer to the field, Krainski's work is an invaluable resource for mastering modern spatial modeling techniques.\u003c\/p\u003e","brand":"Elias T. Krainski","offers":[{"title":"Default Title","offer_id":52253078683990,"sku":"9781138369856","price":151.56,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9781138369856.jpg?v=1767781417","url":"https:\/\/www.englishbook.fi\/products\/advanced-spatial-modeling-with-stochastic-partial-differential-equations-using-r-and-inla-taylor-francis-ltd-9781138369856-elias-t-krainski","provider":"Bookshop","version":"1.0","type":"link"}