Stochastic

Stochastic Partial Differential Equations for Computer Vision with Uncertain Data  eBooks & eLearning

Posted by Underaglassmoon at Aug. 11, 2017
Stochastic Partial Differential Equations for Computer Vision with Uncertain Data

Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Morgan & Claypool | English | 2017 | ISBN-10: 1681731436 | 160 pages | PDF | 3.08 mb

by Tobias Preusser (Author)

Modeling, Analysis, Design, and Control of Stochastic Systems  eBooks & eLearning

Posted by ChrisRedfield at Aug. 4, 2017
Modeling, Analysis, Design, and Control of Stochastic Systems

V. G. Kulkarni - Modeling, Analysis, Design, and Control of Stochastic Systems
Published: 2012-02-10 | ISBN: 1441931546 | PDF | 375 pages | 8.47 MB

Stochastic Analysis for Finance with Simulations [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 2, 2017
Stochastic Analysis for Finance with Simulations [Repost]

Geon Ho Choe - Stochastic Analysis for Finance with Simulations
Published: 2016-07-15 | ISBN: 3319255878 | PDF | 657 pages | 11.96 MB
Stochastic Modelling in Production Planning: Methods for Improvement and Investigations on Production System Behaviour

Stochastic Modelling in Production Planning: Methods for Improvement and Investigations on Production System Behaviour By Alexander Hübl
English | PDF | 2018 | 147 Pages| ISBN : 3658191198 | 1.53 MB

Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models.

Noncausal Stochastic Calculus  eBooks & eLearning

Posted by AvaxGenius at July 26, 2017
Noncausal Stochastic Calculus

Noncausal Stochastic Calculus By Shigeyoshi Ogawa
English | PDF | 2017 | 216 Pages | ISBN : 4431565744 | 2.49 MB

This book presents an elementary introduction to the theory of noncausal stochastic calculus that arises as a natural alternative to the standard theory of stochastic calculus founded in 1944 by Professor Kiyoshi Itô. As is generally known, Itô Calculus is essentially based on the "hypothesis of causality", asking random functions to be adapted to a natural filtration generated by Brownian motion or more generally by square integrable martingale.
A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs: With Application in Energy Production

A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs: With Application in Energy Production By Debora Mahlke
English | PDF | 2011 | 194 Pages | ISBN : 3834814091 | 1.51 MB

Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available.

Stochastic Resonance: Theory and Applications [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 24, 2017
Stochastic Resonance: Theory and Applications [Repost]

Bruno Andó, Salvatore Graziani - Stochastic Resonance: Theory and Applications
Published: 2000-03-01 | ISBN: 0792377796, 1461369754 | PDF | 220 pages | 4.03 MB

The Generic Chaining: Upper and Lower Bounds of Stochastic Processes (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
The Generic Chaining: Upper and Lower Bounds of Stochastic Processes (Repost)

The Generic Chaining: Upper and Lower Bounds of Stochastic Processes By Michel Talagrand
English | PDF | 2005 | 227 Pages | ISBN : 3540245189 | 2 MB

The material of this book has been reworked and expanded with a lot more details and published in the author's 2014 book "Upper and Lower Bounds for Stochastic Processes" (Ergebnisse Vol. 60, ISBN 978-3-642-54074-5). This book is much easier to read and covers everything that is in "The Generic Chaining" book in a more detailed and comprehensible way.

Essentials of Stochastic Processes, Third Edition  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Essentials of Stochastic Processes, Third Edition

Essentials of Stochastic Processes, Third Edition By Richard Durrett
English | EPUB | 2016 | 275 Pages | ISBN : 331945613X | 2.5 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding.

A Course in Applied Stochastic Processes  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
A Course in Applied Stochastic Processes

A Course in Applied Stochastic Processes By A. Goswami, B. V. Rao
English | PDF | 2006 | 226 Pages | ISBN : 8185931690 | 20.86 MB

In terms of pre-requisites, the book does not demand much. Although an exposure to elementary Probability Theory would help, it is by no means es- sential. Chapter 0 is meant to supply the necessary background in Probability. The only real pre-requisite is an exposure to undergraduate Linear Algebra and Calculus, and of course, the necessary motivation. We would like to highlight one interesting feature of the present book.