Bayesian Dynamics

Probabilistic Finite Element Model Updating Using Bayesian Statistics  eBooks & eLearning

Posted by Underaglassmoon at Nov. 1, 2016
Probabilistic Finite Element Model Updating Using Bayesian Statistics

Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering
Wiley | Mechanical Engineering | December 12 2016 | ISBN-10: 1119153034 | 248 pages | pdf | 6.23 mb

by Tshilidzi Marwala (Author), Ilyes Boulkaibet (Author), Sondipon Adhikari (Author)

Bayesian Methods for Structural Dynamics and Civil Engineering (repost)  eBooks & eLearning

Posted by libr at Nov. 1, 2015
Bayesian Methods for Structural Dynamics and Civil Engineering (repost)

Ka-Veng Yuen, "Bayesian Methods for Structural Dynamics and Civil Engineering"
English | 2010 | ISBN: 0470824549 | 320 pages | PDF | 6,6 MB

Bayesian Methods for Structural Dynamics and Civil Engineering (repost)  eBooks & eLearning

Posted by interes at March 1, 2013
Bayesian Methods for Structural Dynamics and Civil Engineering (repost)

Ka-Veng Yuen, "Bayesian Methods for Structural Dynamics and Civil Engineering"
English | 2010 | ISBN: 0470824549 | 320 pages | PDF | 6,6 MB

Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level - especially concrete, rock, and soil.

Operational Modal Analysis: Modeling, Bayesian Inference, Uncertainty Laws  eBooks & eLearning

Posted by AvaxGenius at June 27, 2017
Operational Modal Analysis: Modeling, Bayesian Inference, Uncertainty Laws

Operational Modal Analysis: Modeling, Bayesian Inference, Uncertainty Laws By Siu-Kui Au
English | PDF | 2017 | 552 Pages | ISBN : 9811041172 | 13.88 MB

This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications. Mathematical similarities and philosophical differences between Bayesian and classical statistical approaches to system identification are discussed, allowing their mathematical tools to be shared and their results correctly interpreted.
Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods,  2nd edition

James V. Candy, "Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods, 2nd edition"
English | ISBN: 1119125456 | 2016 | 640 pages | PDF | 19 MB

Geometry, Language And Strategy: The Dynamics Of Decision Processes - Volume 2  eBooks & eLearning

Posted by Underaglassmoon at Jan. 26, 2017
Geometry, Language And Strategy: The Dynamics Of Decision Processes - Volume 2

Geometry, Language And Strategy: The Dynamics Of Decision Processes - Volume 2
World Scientific | English | 2017 | ISBN-10: 9814719927 | 852 pages | PDF | 43.37 mb

by Gerald H Thomas (Author)

Process Control System Fault Diagnosis: A Bayesian Approach  eBooks & eLearning

Posted by Underaglassmoon at Sept. 23, 2016
Process Control System Fault Diagnosis: A Bayesian Approach

Process Control System Fault Diagnosis: A Bayesian Approach
Wiley | Engineering | Sep 6 2016 | ISBN-10: 1118770617 | 360 pages | pdf | 7.09 mb

by Ruben Gonzalez (Author), Fei Qi (Author), Biao Huang (Author)

Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Aug. 1, 2016
Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition

Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition
Springer | Statistics | August 28, 2016 | ISBN-10: 3319327887 | 327 pages | pdf | 3.14 mb

Authors: Phadia, Eswar G.
Presents a systematic and comprehensive treatment of various prior processes
Provides valuable resource for nonparametric Bayesian analysis of big data
Includes a section on machine learning
Shows practical examples

Bayesian Methods in the Search for MH370  eBooks & eLearning

Posted by Underaglassmoon at July 19, 2016
Bayesian Methods in the Search for MH370

Bayesian Methods in the Search for MH370
Springer | Signals & Communication | August 16, 2016 | ISBN-10: 9811003785 | 114 pages | pdf | 6.6 mb

Authors: Davey, S., Gordon, N., Holland, I., Rutten, M., Williams, J.
Presents a unique insight into the Bayesian calculation of the search zone for MH370
Written by members of the MH370 search team
Contains a tutorial description of available data allowing readers to work out their own solutions

Bayesian Computation With R (repost)  eBooks & eLearning

Posted by arundhati at May 19, 2016
Bayesian Computation With R (repost)

Jim Albert, "Bayesian Computation With R"
2009 | ISBN: 0387922970 | 308 pages | PDF | 3 MB