Bayesian networks with examples in R
Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained. 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 simpl...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2014.
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| Edition: | First edition |
| Series: | Texts in statistical science.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644277806719 |
| Summary: | Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained. 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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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (239 p.) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780429196249 9781482225594 |
