{"product_id":"9781119347446","title":"Benefits of Bayesian Network Models","description":"\u003cp\u003eThe application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field.\u003c\/p\u003e \u003cp\u003eUnfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty.\u003c\/p\u003e \u003cp\u003eThis book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems.\u003c\/p\u003e \u003cp\u003eAcross five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47107405512944,"sku":"9781119347446","price":115.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781119347446_p0.jpg?v=1769890939","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781119347446","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}