Screen LibraryBayesian inference for stochastic processes /
"The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinfor...
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| Main Authors: | |
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| Published: |
CRC Press, Taylor & Francis Group,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | [2018] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| Summary: |
"The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS."--Provided by publisher. |
| Item Description: | "A Chapman & Hall book." |
| Carrier Form: | xv, 432 pages : illustrations ; 26 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781138196131 1138196134 |
| Index Number: | QA279 |
| CLC: | O212.8 |
| Call Number: | O212.8/B865-2 |