Applied Stochastic Modelling

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) [Repost]

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) by Olav Kallenberg
English | 18 May 2017 | ISBN: 3319415964 | 710 Pages | PDF | 5.32 MB

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence,
Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling)

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) by Olav Kallenberg
English | 18 May 2017 | ISBN: 3319415964 | 710 Pages | PDF | 5.32 MB

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chapters

Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability)  eBooks & eLearning

Posted by thingska at April 11, 2017
Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability)

Stochastic Portfolio Theory (Stochastic Modelling and Applied Probability) by E. Robert Fernholz
English | 2002 | ISBN: 0387954058, 9780387954059 | 178 Pages | PDF | 17.03 MB

Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis  eBooks & eLearning

Posted by AvaxGenius at March 30, 2017
Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis

Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis By Dr. Peter A. Tass
English | PDF | 1999 | 333 Pages | ISBN : 3540381597 | 32.42 MB

The book presents a new theoretical approach to phase resetting and stimulation-induced synchronization and desynchronization in a population of oscillators.

Elements of Stochastic Modelling  eBooks & eLearning

Posted by thingska at March 29, 2017
Elements of Stochastic Modelling

Elements of Stochastic Modelling by Konstantin Borovkov
English | 2014 | ISBN: 9814571164 | 500 Pages | PDF | 54.00 MB

Optimal Stopping Rules (Stochastic Modelling and Applied Probability, Vol. 8) (Repost)  eBooks & eLearning

Posted by leonardo78 at Aug. 23, 2016
Optimal Stopping Rules (Stochastic Modelling and Applied Probability, Vol. 8) (Repost)

Optimal Stopping Rules (Stochastic Modelling and Applied Probability, Vol. 8) by Albert N. Shiryaev and A.B. Aries
English | 2007-11-28 | ISBN: 3540740104 | 228 pages | DJVU | 3,4 mb

Although three decades have passed since the first publication of this book, it is reprinted now as a result of popular demand.

Stochastic Modelling for Systems Biology, Second Edition (repost)  eBooks & eLearning

Posted by interes at Dec. 13, 2015
Stochastic Modelling for Systems Biology, Second Edition (repost)

Stochastic Modelling for Systems Biology, Second Edition by Darren J. Wilkinson
English | ISBN: 1439837724 | 2012 | 363 pages | PDF | 5 MB

Stochastic Modelling for Systems Biology (repost)  eBooks & eLearning

Posted by libr at Dec. 13, 2015
Stochastic Modelling for Systems Biology (repost)

Darren J. Wilkinson, "Stochastic Modelling for Systems Biology"
English | 2006 | ISBN: 1584885408 | 280 pages | PDF | 28,2 MB
Hybrid Switching Diffusions: Properties and Applications (Stochastic Modelling and Applied Probability) [Repost]

Hybrid Switching Diffusions: Properties and Applications (Stochastic Modelling and Applied Probability) by G. George Yin
English | Oct. 26, 2009 | ISBN: 1441911049 | 398 Pages | PDF | 2.53 MB

This book encompasses the study of hybrid switching di usion processes and their applications.

Random Iterative Models (Stochastic Modelling and Applied Probability) by S.S. Wilson  eBooks & eLearning

Posted by tanas.olesya at July 24, 2015
Random Iterative Models (Stochastic Modelling and Applied Probability) by S.S. Wilson

Random Iterative Models (Stochastic Modelling and Applied Probability) by S.S. Wilson
English | Oct. 12, 2000 | ISBN: 3540571000 | 393 Pages | PDF | 12 MB

An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks …). Suitable for mathematicians (researchers and also students) and engineers.