{"product_id":"stochastic-processes-9780471523697","title":"Stochastic Processes","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA systematic account of the development of stochastic processes over the last 20 years. A supplement contained within the text includes a treatment of the various aspects of measure theory. There is also a chapter on the specialized problem of prediction theory.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction and Probability Background.\u003cbr\u003e \u003cbr\u003e Definition of a Stochastic Process--Principal Classes.\u003cbr\u003e \u003cbr\u003e Processes with Mutually Independent Random Variables.\u003cbr\u003e \u003cbr\u003e Processes with Mutually Uncorrelated or Orthogonal Random Variables.\u003cbr\u003e \u003cbr\u003e Markov Processes--Discrete Parameter.\u003cbr\u003e \u003cbr\u003e Markov Processes--Continuous Parameter.\u003cbr\u003e \u003cbr\u003e Martingales.\u003cbr\u003e \u003cbr\u003e Processes with Independent Increments.\u003cbr\u003e \u003cbr\u003e Processes with Orthogonal Increments.\u003cbr\u003e \u003cbr\u003e Stationary Processes--Discrete Parameter.\u003cbr\u003e \u003cbr\u003e Stationary Processes--Continuous Parameter.\u003cbr\u003e \u003cbr\u003e Linear Least Squares Prediction--Stationary (Wide Sense) Processes.\u003cbr\u003e \u003cbr\u003e Supplement.\u003cbr\u003e \u003cbr\u003e Appendix.\u003cbr\u003e \u003cbr\u003e Bibliography.\u003cbr\u003e \u003cbr\u003e Index.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402623033687,"sku":"9780471523697","price":157.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471523697.jpg?v=1730481015","url":"https:\/\/bookcurl.com\/products\/stochastic-processes-9780471523697","provider":"Book Curl","version":"1.0","type":"link"}