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Language: en
Pages: 273
Pages: 273
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimar
Language: en
Pages: 273
Pages: 273
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimar
Language: en
Pages: 148
Pages: 148
The following notes represent approximately the second half of the lectures I gave in the Nachdiplomvorlesung, in ETH, Zurich, between October 1991 and February
Language: en
Pages: 470
Pages: 470
A graduate-course text, written for readers familiar with measure-theoretic probability and discrete-time processes, wishing to explore stochastic processes in
Language: en
Pages: 276
Pages: 276
A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applica
Language: en
Pages: 424
Pages: 424
Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes,
Language: en
Pages: 627
Pages: 627
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications. It is the only textbook on the subject to inc
Language: en
Pages: 536
Pages: 536
This book focuses on the probabilistic theory ofBrownian motion. This is a good topic to center a discussion around because Brownian motion is in the intersec t
Language: en
Pages: 441
Pages: 441
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance. The f
Language: en
Pages: 276
Pages: 276
A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applica