Please register here if you want to download anything!

Stochastic Processes Theory Forapplications

Stochastic Processes: Theory for Applications (repost)  eBooks & eLearning

Posted by interes at Feb. 8, 2017
Stochastic Processes: Theory for Applications (repost)

Stochastic Processes: Theory for Applications by Robert G. Gallager
English | 2014 | ISBN: 1107039754 | 553 pages | PDF | 6 MB

Stationary Stochastic Processes: Theory and Applications (repost)  eBooks & eLearning

Posted by libr at Sept. 25, 2015
Stationary Stochastic Processes: Theory and Applications (repost)

Stationary Stochastic Processes: Theory and Applications by Georg Lindgren
English | 2012 | ISBN: 1466557796 | 375 pages | PDF | 71,7 MB
An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine

An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine By Vincenzo Capasso, David Bakstein
2015 | 500 Pages | ISBN: 1493927566 | PDF | 6 MB

Stationary Stochastic Processes: Theory and Applications  eBooks & eLearning

Posted by interes at July 19, 2015
Stationary Stochastic Processes: Theory and Applications

Stationary Stochastic Processes: Theory and Applications by Georg Lindgren
English | 2012 | ISBN: 1466557796 | 375 pages | PDF | 71,7 MB

Stochastic Processes: Theory for Applications  eBooks & eLearning

Posted by interes at Dec. 30, 2013
Stochastic Processes: Theory for Applications

Stochastic Processes: Theory for Applications by Robert G. Gallager
English | 2014 | ISBN: 1107039754 | 553 pages | PDF | 6 MB

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications.

An Introduction to Continuous-Time Stochastic Processes  eBooks & eLearning

Posted by arundhati at Oct. 2, 2018
An Introduction to Continuous-Time Stochastic Processes

Vincenzo Capasso, David Bakstein, "An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine"
2015 | ISBN-10: 1493927566 | 500 pages | EPUB | 8 MB

Hyperfinite Dirichlet Forms and Stochastic Processes (Repost)  eBooks & eLearning

Posted by step778 at Aug. 10, 2018
Hyperfinite Dirichlet Forms and Stochastic Processes (Repost)

Sergio Albeverio, Ruzong Fan, Frederik S. Herzberg, "Hyperfinite Dirichlet Forms and Stochastic Processes"
2011 | pages: 301 | ISBN: 3642196586 | PDF | 1,7 mb

An Introduction to Continuous-Time Stochastic Processes (3rd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 11, 2015
An Introduction to Continuous-Time Stochastic Processes (3rd edition) [Repost]

Vincenzo Capasso, David Bakstein - An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine (3rd edition)
Published: 2015-05-29 | ISBN: 1493927566 | PDF | 482 pages | 5.5 MB

An Introduction to Continuous-Time Stochastic Processes (Repost)  eBooks & eLearning

Posted by insetes at Aug. 25, 2015
An Introduction to Continuous-Time Stochastic Processes (Repost)

An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine By Vincenzo Capasso, David Bakstein
2015 | 500 Pages | ISBN: 1493927566 | PDF | 4 MB

An Introduction to Continuous-Time Stochastic Processes  eBooks & eLearning

Posted by alt_f4 at Jan. 4, 2017
An Introduction to Continuous-Time Stochastic Processes

An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine by Vincenzo Capasso
English | Dec. 7, 2004 | ISBN: 0817632344 | 347Pages | PDF | 2 MB

This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes.