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Wiley Understanding Computational Bayesian Statistics Book

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Description

Master modern statistical methods with Understanding Computational Bayesian Statistics from the Wiley Series in Computational Statistics. This book provides a hands-on introduction to computational statistics through a Bayesian lens, offering a solid foundation for readers interested in this cutting-edge approach. Learn practical techniques for drawing samples from posterior distributions, even when only the formula defining its shape is known. The text explains how to build Bayesian inferences based on these samples, using common statistical examples to illustrate complex concepts. This resource is ideal for those seeking to bridge the gap between theoretical probability and practical computational application.

Key Features

This Wiley publication serves as a hands-on introduction to computational statistics from a Bayesian perspective.

The book provides a solid grounding in statistics while covering cutting-edge computational topics.

Learn how to draw samples from the posterior distribution when only the formula is known.

Develop the skills to base Bayesian inferences on samples drawn from the posterior.

Common statistical examples are used throughout the text to illustrate core ideas and methods.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
15 January 2010
Listed Since
02 April 2007

Barcode

No barcode data available

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