Bayesian Inference
eBook - PDF

Bayesian Inference

  1. 378 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bayesian Inference

About this book

The range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers.

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Yes, you can access Bayesian Inference by Javier Prieto Tejedor in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Bayesian Inference
  2. Contents
  3. Preface
  4. Section 1 Theoretical Foundations of Bayesian Inference
  5. Section 2 Applications of Bayesian Inference in Life Sciences
  6. Section 3 Applications of Bayesian Inference in Engineering
  7. Section 4 Applications of Bayesian Inference in Economics