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Record Nr. |
UNINA9910136520603321 |
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Autore |
Weber Philippe |
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Titolo |
Benefits of Bayesian network models / / Philippe Weber, Christophe Simon |
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Pubbl/distr/stampa |
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Hoboken, NJ : , : Wiley, , 2016 |
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ISBN |
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1-119-34731-9 |
1-119-34744-0 |
1-119-34745-9 |
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Descrizione fisica |
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1 online resource (151 p.) |
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Collana |
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Systems dependability assessment set ; ; volume 2 |
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Disciplina |
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Soggetti |
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Uncertainty (Information theory) - Mathematical models |
Bayesian statistical decision theory |
Computer software - Development |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover ; Title Page ; Copyright ; Contents; Foreword by J.-F. Aubry; Foreword by L. Portinale; Acknowledgments; Introduction; I.1. Problem statement; I.2. Book structure; PART 1. Bayesian Networks; 1. Bayesian Networks: a Modeling Formalism for System Dependability; 1.1. Probabilistic graphical models: BN; 1.1.1. BN: a formalism to model dependability; 1.1.2. Inference mechanism; 1.2. Reliability and joint probability distributions; 1.2.1. Multi-state system example; 1.2.2. Joint distribution; 1.2.3. Reliability computing; 1.2.4. Factorization; 1.3. Discussion and conclusion |
2. Bayesian Network: Modeling Formalism of the Structure Function of Boolean Systems2.1. Introduction; 2.2. BN models in the Boolean case; 2.2.1. BN model from cut-sets; 2.2.2. BN model from tie-sets; 2.2.3. BN model from a top-down approach; 2.2.4. BN model of a bowtie; 2.3. Standard Boolean gates CPT; 2.4. Non-deterministic CPT; 2.5. Industrial applications; 2.6. Conclusion; 3. Bayesian Network: Modeling Formalism of the Structure Function of Multi-State Systems; 3.1. Introduction; 3.2. BN models in the multi-state case; 3.2.1. BN model of multi-state systems from tie-sets |
3.2.2. BN model of multi-state systems from cut-sets3.2.3. BN model |
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