Bayesian networks in R : with applications in systems biology
Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters wit...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2013. |
| Schriftenreihe: | Use R!
48 |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bayesian networks in R, with applications in systems biology, Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre, New York [etc.], Springer, 2013, 1 vol. (XIII-157 p.), Use R!, 978-1-4614-6445-7 • Bayesian Networks in R, Texte imprimé, 9781461464471 • Bayesian networks in R, with applications in systems biology, Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre, New York [etc.], Springer, 2013, 1 vol. (XIII-157 p.), Use R!, 978-1-4614-6445-7 |
Inhaltsangabe:
- Introduction Bayesian Networks in the Absence of Temporal Information Bayesian Networds in the Presence of Temporal Information Bayesian Network Inference Algorithms Parallel Computing for Bayesian Networks Solutions Index References