Book Abstract: Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and statisticians ...

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This course considers the foundation of Bayesian analysis, how to use Bayesian methods in practice, and computational methods for hierarchical models. Students admitted at UiO must apply for courses ...

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This course considers the foundation of Bayesian analysis, how to use Bayesian methods in practice, and computational methods for hierarchical models. PhD candidates from the Faculty of Mathematics ...

In this paper, a general class of stochastic estimation and control problems is formulated from the Bayesian Decision-Theoretic viewpoint. A discussion as to how these problems can be solved step by ...

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Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the ...

We compared CPAP compliance, cost-effectiveness and QoL between the beginning and the end of the study. A Bayesian cost-effectiveness analysis with non-informative priors was performed. Results We ...

By Linda Holmes Here are the year’s notable fiction, poetry and nonfiction, chosen by the staff of The New York Times Book Review. The winner of this year’s National Book Award in fiction has ...