{"title":"Xiaofeng Wang","description":null,"products":[{"product_id":"bayesian-regression-modeling-with-inla-taylor-francis-inc-9781498727259-xiaofeng-wang","title":"Bayesian Regression Modeling with INLA","description":"","brand":"Xiaofeng Wang","offers":[{"title":"Default Title","offer_id":52251195965782,"sku":"9781498727259","price":117.6,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9781498727259.jpg?v=1767778610"},{"product_id":"software-business-springer-nature-switzerland-ag-9783030919825-12th-international-conference-icsob-2021-drammen-norway-december-2-3-2021-proceedings-xiaofeng-wang","title":"Software Business","description":"\u003cp\u003eDiscover the insights from the forefront of the software industry with \u003cstrong\u003eSoftware Business\u003c\/strong\u003e by Xiaofeng Wang. This compelling book is the refereed proceedings of the 12th International Conference on Software Business, ICSOB 2021, held on December 2-3, 2021. Published by Springer Nature Switzerland AG, this first edition features 255 pages of in-depth discussions and research that illuminate the latest trends and challenges in the software business landscape. Perfect for professionals, academics, and anyone interested in understanding the dynamics of software entrepreneurship, this book provides a comprehensive overview of the field. Enhance your knowledge and stay ahead in the ever-evolving software industry with this essential read.\u003c\/p\u003e","brand":"Xiaofeng Wang","offers":[{"title":"Default Title","offer_id":52259415458134,"sku":"9783030919825","price":66.68,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030919825.jpg?v=1767789979"},{"product_id":"bayesian-regression-modeling-with-inla-taylor-francis-ltd-9780367572266-xiaofeng-wang","title":"Bayesian Regression Modeling with INLA","description":"\u003cp\u003eThis book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p\u003c\/p\u003e","brand":"Xiaofeng Wang","offers":[{"title":"Default Title","offer_id":52279549722966,"sku":"9780367572266","price":63.04,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9780367572266.jpg?v=1767823680"}],"url":"https:\/\/www.bookshop.ee\/collections\/xiaofeng-wang.oembed","provider":"Bookshop","version":"1.0","type":"link"}