Understanding computational Bayesian statistics

by William M. Bolstad

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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian show more inferences can be based on these samples from the posterior. These ideas are illustra show less

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Author Information

William M. Bolstad
3 Works 93 Members
William M. Bolstad is a Senior Lecturer in the Department of Statistics at the University of Waikato, New Zealand.

Classifications

Genres
Nonfiction, Science & Nature
DDC/MDS
519.5 — Natural sciences & mathematics Mathematics Probabilities and applied mathematics Statistical Mathematics
LCC
QA279.5 .B649 — Science Mathematics Mathematics Probabilities. Mathematical statistics
BISAC
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Members
12
Popularity
1,877,620
Rating
(3.75)
Languages
English
Media
Paper, Ebook
ISBNs
6