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Benefits of Bayesian network models / / Philippe Weber, Christophe Simon
| Benefits of Bayesian network models / / Philippe Weber, Christophe Simon |
| Autore | Weber Philippe |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (151 p.) |
| Disciplina | 519.5/42 |
| Collana | Systems dependability assessment set |
| Soggetto topico |
Uncertainty (Information theory) - Mathematical models
Bayesian statistical decision theory Computer software - Development |
| ISBN |
1-119-34731-9
1-119-34744-0 1-119-34745-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 of multi-state systems from functional and dysfunctional analysis; 3.3. Non-deterministic CPT; 3.4. Industrial applications; 3.5. Conclusion; PART 2. Dynamic Bayesian Networks; 4. Dynamic Bayesian Networks: Integrating Environmental and Operating Constraints in Reliability Computation; 4.1. Introduction; 4.2. Component modeled by a DBN; 4.2.1. DBN model of a MC; 4.2.2. DBN model of non-homogeneous MC; 4.2.3. Stochastic process with exogenous constraint; 4.3. Model of a dynamic multi-state system 4.4. Discussion on dependent processes4.5. Conclusion; 5. Dynamic Bayesian Networks: Integrating Reliability Computation in the Control System; 5.1. Introduction; 5.2. Integrating reliability information into the control; 5.3. Control integrating reliability modeled by DBN; 5.3.1. Modeling and controlling an over-actuated system; 5.3.2. Integrating reliability; 5.4. Application to a drinking water network; 5.4.1. DBN modeling; 5.4.2. Results and discussion; 5.5. Conclusion; 5.6. Acknowledgments; Conclusion; Modeling the functional consequences of failures from structured knowledge Dynamic modeling system reliability based on the reliability of components from the environmentSynthesis of the control law with the aim of optimizing system reliability based on its sensitivity to actuator failures; Bibliography; Index; Other titles from iSTE in Systems and Industrial Engineering - Robotics; EULA |
| Record Nr. | UNINA-9910136520603321 |
Weber Philippe
|
||
| Hoboken, NJ : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Benefits of Bayesian network models / / Philippe Weber, Christophe Simon
| Benefits of Bayesian network models / / Philippe Weber, Christophe Simon |
| Autore | Weber Philippe |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (151 p.) |
| Disciplina | 519.5/42 |
| Collana | Systems dependability assessment set |
| Soggetto topico |
Uncertainty (Information theory) - Mathematical models
Bayesian statistical decision theory Computer software - Development |
| ISBN |
1-119-34731-9
1-119-34744-0 1-119-34745-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 of multi-state systems from functional and dysfunctional analysis; 3.3. Non-deterministic CPT; 3.4. Industrial applications; 3.5. Conclusion; PART 2. Dynamic Bayesian Networks; 4. Dynamic Bayesian Networks: Integrating Environmental and Operating Constraints in Reliability Computation; 4.1. Introduction; 4.2. Component modeled by a DBN; 4.2.1. DBN model of a MC; 4.2.2. DBN model of non-homogeneous MC; 4.2.3. Stochastic process with exogenous constraint; 4.3. Model of a dynamic multi-state system 4.4. Discussion on dependent processes4.5. Conclusion; 5. Dynamic Bayesian Networks: Integrating Reliability Computation in the Control System; 5.1. Introduction; 5.2. Integrating reliability information into the control; 5.3. Control integrating reliability modeled by DBN; 5.3.1. Modeling and controlling an over-actuated system; 5.3.2. Integrating reliability; 5.4. Application to a drinking water network; 5.4.1. DBN modeling; 5.4.2. Results and discussion; 5.5. Conclusion; 5.6. Acknowledgments; Conclusion; Modeling the functional consequences of failures from structured knowledge Dynamic modeling system reliability based on the reliability of components from the environmentSynthesis of the control law with the aim of optimizing system reliability based on its sensitivity to actuator failures; Bibliography; Index; Other titles from iSTE in Systems and Industrial Engineering - Robotics; EULA |
| Record Nr. | UNINA-9910818395603321 |
|
Weber Philippe
|
||
| Hoboken, NJ : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International journal for uncertainty quantification
| International journal for uncertainty quantification |
| Pubbl/distr/stampa | Redding, CT, : Begell House |
| Disciplina | 003 |
| Soggetto topico |
Uncertainty (Information theory) - Mathematical models
Uncertainty (Information theory) - Mathematics Incertitude (Théorie de l'information) - Modèles mathématiques Incertitude (Théorie de l'information) - Mathématiques |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2152-5080 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Uncertainty quantification |
| Record Nr. | UNINA-9910895787203321 |
| Redding, CT, : Begell House | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Scalable uncertainty management : 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, proceedings / / Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka
| Scalable uncertainty management : 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, proceedings / / Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka |
| Autore | Dupin de Saint-Cyr Florence |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 003.54 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Uncertainty (Information theory)
Uncertainty (Information theory) - Mathematical models |
| ISBN | 3-031-18843-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996495570003316 |
|
Dupin de Saint-Cyr Florence
|
||
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Scalable uncertainty management : 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, proceedings / / Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka
| Scalable uncertainty management : 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, proceedings / / Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka |
| Autore | Dupin de Saint-Cyr Florence |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 003.54 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Uncertainty (Information theory)
Uncertainty (Information theory) - Mathematical models |
| ISBN | 3-031-18843-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910617303603321 |
|
Dupin de Saint-Cyr Florence
|
||
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Uncertainty analysis for NIST noise-parameter measurements [[electronic resource] /] / James Randa
| Uncertainty analysis for NIST noise-parameter measurements [[electronic resource] /] / James Randa |
| Autore | Randa James |
| Pubbl/distr/stampa | Boulder, CO : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , [2008] |
| Descrizione fisica | 1 online resource (iii, 31 pages) : illustrations (some color) |
| Collana | NIST technical note |
| Soggetto topico |
Electronic noise - Measurement
Uncertainty (Information theory) - Mathematical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910697199403321 |
|
Randa James
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| Boulder, CO : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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