{"product_id":"bayesian-inference-parameter-estimation-and-decisions-9783642055775","title":"Bayesian Inference: Parameter Estimation and Decisions","description":"\u003cp\u003e • Author(s): Hanns L. Harney\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Physics - Mathematical \u0026amp; Computational\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThe book provides a generalization of Gaussian error intervals to\u003cbr\u003esituations where the data follow non-Gaussian distributions. This\u003cbr\u003eusually occurs in frontier science, where the observed parameter is\u003cbr\u003ejust above background or the histogram of multiparametric data\u003cbr\u003econtains empty bins. Then the validity of a theory\u003cbr\u003ecannot be decided by the chi-squared-criterion, but this long-standing\u003cbr\u003eproblem is solved here. The book is based on Bayes' theorem, symmetry and\u003cbr\u003edifferential geometry. In addition to solutions of practical problems, the text\u003cbr\u003eprovides an epistemic insight: The logic of quantum mechanics is\u003cbr\u003eobtained as the logic of unbiased inference from counting data.\u003cbr\u003eHowever, no knowledge of quantum mechanics is required. The text, \u003cbr\u003eexamples and exercises are written at an introductory level\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45278050156695,"sku":"9783642055775","price":6910.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783642055775.webp?v=1769289920","url":"https:\/\/atlanticbooks.com\/products\/bayesian-inference-parameter-estimation-and-decisions-9783642055775","provider":"Atlantic Books","version":"1.0","type":"link"}