S Co 2009 Sixth Conference Complex Data Modeling And Computationally Intensive Statistical Methods For Estimation And Prediction
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S Co 2009 Sixth Conference Complex Data Modeling And Computationally Intensive Statistical Methods For Estimation And Prediction
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Author :
language : en
Publisher: Maggioli Editore
Release Date : 2009
S Co 2009 Sixth Conference Complex Data Modeling And Computationally Intensive Statistical Methods For Estimation And Prediction written by and has been published by Maggioli Editore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Business & Economics categories.
Complex Data Modeling And Computationally Intensive Statistical Methods
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Author : Pietro Mantovan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-27
Complex Data Modeling And Computationally Intensive Statistical Methods written by Pietro Mantovan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-27 with Computers categories.
Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods and computational techniques for complex and high dimensional datasets.
Statistical Methods And Modeling Of Seismogenesis
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Author : Nikolaos Limnios
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-27
Statistical Methods And Modeling Of Seismogenesis written by Nikolaos Limnios and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Social Science categories.
The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics) can be of different types, for example, the black box approach (one state), the white box approach (multi-state), the simulation of different aspects, and so on. This book has the advantage of bringing together a group of international authors, known for their earthquake-specific approaches, to cover a wide array of these myriad aspects. A variety of topics are presented, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties and multifractal approaches, selfcorrecting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and, finally, semi-Markov models for earthquake forecasting.
Chapitre 10 Techniques De D Tection Des Points De Changement Dans Les Mod Les De Sismicit
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Author : Rodi LYKOU
language : fr
Publisher: ISTE Group
Release Date : 2023-01-20
Chapitre 10 Techniques De D Tection Des Points De Changement Dans Les Mod Les De Sismicit written by Rodi LYKOU and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Mathematics categories.
Ce chapitre constitue un examen détaillé de la détection des points de changement dans la modélisation de la sismicité, en combinant à la fois des modèles de points de changement fondamentaux et une étude récente dans ce domaine. Mots-clés : points de changement, processus de Poisson, modèle ETAS, loi G-R, logiciel ZMAP. DOI : 10.51926/ISTE.9037.ch10
M Thodes Et Mod Les Statistiques Pour La Sismogen Se
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Author : Nikolaos Limnios
language : fr
Publisher: ISTE Group
Release Date : 2023-01-20
M Thodes Et Mod Les Statistiques Pour La Sismogen Se written by Nikolaos Limnios and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Mathematics categories.
L’étude des séismes est un champ multidisciplinaire où se rencontrent, entre autres, la géodynamique, les mathématiques, la physique et l’ingénierie, mais également le hasard. Méthodes et modèles statistiques pour la sismogenèse offre un ensemble riche et varié de méthodes permettant l’étude statistique et la prévision des séismes. Il détaille les méthodes statistiques paramétriques et non paramétriques, l’approche des systèmes multiétats, les simulateurs de séismes, les modèles d’activité post-sismique, les modèles ETAS de type branchement, les modèles de Markov de séries temporelles avec régression, les propriétés d’échelle et les approches multifractales. Cet ouvrage présente également les modèles autocorrectifs, le modèle de libération des contraintes liées, les modèles d’arrivées markoviens, les techniques de détection basées sur les modèles de Poisson et les techniques de détection des points de changement sur les modèles de sismicité. Les modèles semi-markoviens pour la prévision des séismes concluent cette étude exhaustive de la sismogenèse.
Prognostics And Remaining Useful Life Rul Estimation
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Author : Diego Galar
language : en
Publisher: CRC Press
Release Date : 2021-12-27
Prognostics And Remaining Useful Life Rul Estimation written by Diego Galar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-27 with Technology & Engineering categories.
Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies. FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audience This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.
Computational Science Iccs 2019
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Author : João M. F. Rodrigues
language : en
Publisher: Springer
Release Date : 2019-06-07
Computational Science Iccs 2019 written by João M. F. Rodrigues and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-07 with Computers categories.
The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Progress In Artificial Intelligence
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Author : Luís Seabra Lopes
language : en
Publisher: Springer
Release Date : 2009-10-07
Progress In Artificial Intelligence written by Luís Seabra Lopes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-07 with Computers categories.
This book contains a selection of higher quality and reviewed papers of the 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, held in Aveiro, Portugal, in October 2009. The 55 revised full papers presented were carefully reviewed and selected from a total of 163 submissions. The papers are organized in topical sections on artificial intelligence in transportation and urban mobility (AITUM), artificial life and evolutionary algorithms (ALEA), computational methods in bioinformatics and systems biology (CMBSB), computational logic with applications (COLA), emotional and affective computing (EAC), general artificial intelligence (GAI), intelligent robotics (IROBOT), knowledge discovery and business intelligence (KDBI), muli-agent systems (MASTA) social simulation and modelling (SSM), text mining and application (TEMA) as well as web and network intelligence (WNI).
Modeling Simulation And Optimization Of Complex Processes
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Author : Hans Georg Bock
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-03
Modeling Simulation And Optimization Of Complex Processes written by Hans Georg Bock and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-03 with Computers categories.
This proceedings volume contains a selection of papers presented at the Fourth International Conference on High Performance Scientific Computing held at the Hanoi Institute of Mathematics, Vietnamese Academy of Science and Technology (VAST), March 2-6, 2009. The conference was organized by the Hanoi Institute of Mathematics, the Interdisciplinary Center for Scientific Computing (IWR), Heidelberg, and its Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, and Ho Chi Minh City University of Technology. The contributions cover the broad interdisciplinary spectrum of scientific computing and present recent advances in theory, development of methods, and applications in practice. Subjects covered are mathematical modelling, numerical simulation, methods for optimization and control, parallel computing, software development, applications of scientific computing in physics, mechanics, biology and medicine, engineering, hydrology problems, transport, communication networks, production scheduling, industrial and commercial problems.
Bayesian Data Analysis Third Edition
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Author : Andrew Gelman
language : en
Publisher: CRC Press
Release Date : 2013-11-01
Bayesian Data Analysis Third Edition written by Andrew Gelman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-01 with Mathematics categories.
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.