Bayesian networks with examples in R
Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabil...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2015.
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| Series: | Texts in statistical science series
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| Subjects: | |
| Tags: |
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| Call Number : | QA 279.5 .S38 2015 |
| Summary: | Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabilistic models from their estimation with data sets. |
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| Physical Description: | xv, 225 pages illustrations 25 cm. |
| Bibliography: | Includes bibliographical references (pages (215-221) and index. |
| ISBN: | 9781482225587 (hbk.) 1482225581 (hbk.) |