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The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model... Læs mere
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This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods... Læs mere
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This book offers reliability engineers a single source of introduction to the concepts, models, and case studies for making credible reliability... Læs mere
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This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.
Bemærk: Kan ikke leveres før jul.
This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.
Bemærk: Kan ikke leveres før jul.
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.
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Bemærk: Kan ikke leveres før jul.
This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services.
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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies.
Bemærk: Kan ikke leveres før jul.
This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies.
Bemærk: Kan ikke leveres før jul.
This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.
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Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods.