Applied Stochastic Modelling

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

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.

Stochastic Modelling for Systems Biology, Second Edition  eBooks & eLearning

Posted by nebulae at July 21, 2015
Stochastic Modelling for Systems Biology, Second Edition

Darren J. Wilkinson, "Stochastic Modelling for Systems Biology, Second Edition"
English | ISBN: 1439837724 | 2012 | 363 pages | PDF | 5 MB
Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability) (Repost)

Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability) by Paul Embrechts
English | 2008 | ISBN: 3540609318 | 655 Pages | PDF | 5 MB

Both in insurance and in finance applications, questions involving extremal events (such as large insurance claims, large fluctuations in financial data, stock market shocks, risk management, …) play an increasingly important role.
Stochastic Stability of Differential Equations (Stochastic Modelling and Applied Probability) (Repost)

Stochastic Stability of Differential Equations (Stochastic Modelling and Applied Probability) by Rafail Khasminskii
English | 2011 | ISBN: 3642232795 | 358 Pages | PDF | 2 MB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering.