{"product_id":"gaussian-processes","title":"Gaussian Processes","description":"Aimed at students and researchers in mathematics, communications engineering, and economics, this book describes the probabilistic structure of a Gaussian process in terms of its canonical representation (or its innovation process). Multiple Markov properties of a Gaussian process and equivalence problems of Gaussian processes are clearly presented. The authors' approach is unique, involving causality in time evolution and information-theoretic aspects. Because the book is self-contained and only requires background in the fundamentals of probability theory and measure theory, it would be suitable as a textbook at the senior undergraduate or graduate level.","brand":"American Mathematical Society","offers":[{"title":"Default Title","offer_id":55533046235480,"sku":"9780821843581","price":174.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780821843581.jpg?v=1780114559","url":"https:\/\/agendabookshop.com\/products\/gaussian-processes","provider":"Agenda Bookshop","version":"1.0","type":"link"}