{"product_id":"forecasting-with-maximum-entropy-the-interface-between-physics-biology-economics-and-information-theory-hardcover","title":"Forecasting with Maximum Entropy: The interface between physics, biology, economics and information theory - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHugo Fort\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book aims at providing a unifying framework, based on Information Entropy and its maximization, to connect the phenomenology of evolutionary biology, community ecology, financial economics, and statistical physics. This more comprehensive view, besides providing further insight into problems, enables problem-solving strategies by applying proven methods in one discipline to formally similar problems in other areas. The book also proposes a forecasting method for important practical problems in these disciplines and is directed to researchers, students and practitioners working on modelling the dynamics of complex systems. \u003cbr\u003e The common thread is how the flux of information both controls and serves to predict the dynamics of complex systems. It is shown how maximizing the Shannon information entropy allows one to infer a central object controlling the dynamics of complex systems, such as ecosystems or markets. The resulting models, which are known as pairwise maximum-entropy models, can be used to infer interactions from data in a wide variety of systems. Here, two examples are analysed in detail. The first is an application to conservation ecology, namely the issue of providing early warning indicators of population crashes of species of trees in tropical forests. The second is about forecasting the market values of firms through evolutionary economics. An interesting lesson is that PME modelling often produces accurate predictions despite not incorporating explicit interaction mechanisms. \u003cbr\u003e\u003cb\u003eKey features\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eWritten to be suitable for a broad spectrum of readers and assumes little mathematical specialism.\u003c\/li\u003e \u003cli\u003eIncludes pedagogical features: Worked examples, case studies and summaries.\u003c\/li\u003e \u003cli\u003eThe interdisciplinary approach builds bridges between disciplines.\u003c\/li\u003e \u003cli\u003eOriented to solve practical problems.\u003c\/li\u003e \u003cli\u003eIncludes a combination of analytical derivations and numerical simulations with experiments\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 275\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 25, 2022\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51341744111839,"sku":"9780750339292","price":194.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0771\/4894\/6655\/files\/eOp6VjTswK9780750339292.webp?v=1788710240","url":"https:\/\/georbella.com\/products\/forecasting-with-maximum-entropy-the-interface-between-physics-biology-economics-and-information-theory-hardcover","provider":"Georbella","version":"1.0","type":"link"}