Bayesian analysis of stochastic process models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
2012
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | Extensions of Poisson Processes 154 5.7 Case Study: Earthquake Occurrences 157 5.8 Discussion 162 6 Continuous Time Continuous Space Processes 169 6.1 Introduction 169 6.2 Gaussian Processes 170 6.3 Brownian Motion and Fractional Brownian Motion 174 6.4 Dilusions 181 6.5 Case Study: Prey-predator Systems 184 6.6 Discussion 190 7 Queueing Analysis 201 7.1 Introduction 201 7.2 Basic Queueing Concepts 201 7.3 The Main Queueing Models 204 7.4 Inference for Queueing Systems 208 7.5 Inference for M=M=1 Systems 209 7.6 Inference for Non Markovian Systems 220 7.7 Decision Problems in Queueing Systems 229 7.8 Case Study: Optimal Number of Beds in a Hospital 230 7.9 Discussion 235 8 Reliability 245 8.1 Introduction 245 8.2 Basic Reliability Concepts 246 8.3 Renewal Processes 249 8.4 Poisson Processes 251 8.5 Other Processes 259 8.6 Maintenance 262 8.7 Case Study: Gas Escapes 263 8.8 Discussion 271 9 Discrete Event Simulation 279 9.1 Introduction 279 9.2 Discrete Event Simulation Methods 280 9.3 . - "This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introduction of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume"-- "A unique book on Bayesian analyses of stochastic process based models"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9780470975923 047097592X 9781118304037 1118304039 9781118304204 1118304209 9780470975916 0470975911 |
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| discipline | Mathematik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| spelling | Ruggeri, Fabrizio Verfasser aut Bayesian analysis of stochastic process models Fabrizio Ruggeri, Michael P. Wiper, David Rios Insua Hoboken, New Jersey Wiley 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Extensions of Poisson Processes 154 5.7 Case Study: Earthquake Occurrences 157 5.8 Discussion 162 6 Continuous Time Continuous Space Processes 169 6.1 Introduction 169 6.2 Gaussian Processes 170 6.3 Brownian Motion and Fractional Brownian Motion 174 6.4 Dilusions 181 6.5 Case Study: Prey-predator Systems 184 6.6 Discussion 190 7 Queueing Analysis 201 7.1 Introduction 201 7.2 Basic Queueing Concepts 201 7.3 The Main Queueing Models 204 7.4 Inference for Queueing Systems 208 7.5 Inference for M=M=1 Systems 209 7.6 Inference for Non Markovian Systems 220 7.7 Decision Problems in Queueing Systems 229 7.8 Case Study: Optimal Number of Beds in a Hospital 230 7.9 Discussion 235 8 Reliability 245 8.1 Introduction 245 8.2 Basic Reliability Concepts 246 8.3 Renewal Processes 249 8.4 Poisson Processes 251 8.5 Other Processes 259 8.6 Maintenance 262 8.7 Case Study: Gas Escapes 263 8.8 Discussion 271 9 Discrete Event Simulation 279 9.1 Introduction 279 9.2 Discrete Event Simulation Methods 280 9.3 . - "This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introduction of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume"-- "A unique book on Bayesian analyses of stochastic process based models"-- Includes bibliographical references and index MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Bayesian statistical decision theory fast Stochastic processes fast Bayesian statistical decision theory Stochastic processes Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 s Stochastischer Prozess (DE-588)4057630-9 s Stochastisches Modell (DE-588)4057633-4 s 1\p DE-604 Wiper, Michael P. Sonstige oth Ríos Insua, David Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-74453-6 https://onlinelibrary.wiley.com/doi/book/10.1002/9780470975916 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ruggeri, Fabrizio Bayesian analysis of stochastic process models MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Bayesian statistical decision theory fast Stochastic processes fast Bayesian statistical decision theory Stochastic processes Stochastisches Modell (DE-588)4057633-4 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| subject_GND | (DE-588)4057633-4 (DE-588)4057630-9 (DE-588)4204326-8 |
| title | Bayesian analysis of stochastic process models |
| title_auth | Bayesian analysis of stochastic process models |
| title_exact_search | Bayesian analysis of stochastic process models |
| title_full | Bayesian analysis of stochastic process models Fabrizio Ruggeri, Michael P. Wiper, David Rios Insua |
| title_fullStr | Bayesian analysis of stochastic process models Fabrizio Ruggeri, Michael P. Wiper, David Rios Insua |
| title_full_unstemmed | Bayesian analysis of stochastic process models Fabrizio Ruggeri, Michael P. Wiper, David Rios Insua |
| title_short | Bayesian analysis of stochastic process models |
| title_sort | bayesian analysis of stochastic process models |
| topic | MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Bayesian statistical decision theory fast Stochastic processes fast Bayesian statistical decision theory Stochastic processes Stochastisches Modell (DE-588)4057633-4 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / Bayesian Analysis Bayesian statistical decision theory Stochastic processes Stochastisches Modell Stochastischer Prozess Bayes-Verfahren |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9780470975916 |
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