 
                While the original works on Malliavin calculus aimed to study the smoothness of densities of solutions to stochastic differential ...
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                The book consists of two parts. Part I,This part introduces strong Markov processes and their potential theory. In particular,it ...
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                In November 2004, M. Yor and R. Mansuy jointly gave six lectures at Columbia University, New York. These notes follow the ...
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                This volume contains twenty-eight refereed research or review papers presented at the 5th Seminar on Stochastic Processes, ...
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                Fractional Brownian motion (fBm) has been widely used to model a number of phenomena in diverse fields from biology to finance. ...
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                The theory of fractional Brownian motion and other long-memory processes are addressed in this volume. Interesting topics ...
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                This research monograph develops the Hamilton-Jacobi-Bellman (HJB) theory through dynamic programming principle for a class ...
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                Two noteworthy features of the 40th volume of the Séminaire de Probabilités are L. Coutin’s advanced course on calculus ...
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                Stochastic processes are as usual the main subject of the Séminaire, with contributions on Brownian motion (fractional or ...
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                Besides a series of six articles on Lévy processes, Volume 38 of the Séminaire de Probabilités contains contributions ...
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                Einstein proved that the mean square displacement of Brownian motion is proportional to time. He also proved that the diffusion ...
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                This textbook is the first to provide Business and Economics with a precise and intuitive introduction to the formal backgrounds ...
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                The lace expansion is a powerful and flexible method for understanding the critical scaling of several models of interest ...
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                The lace expansion is a powerful and flexible method for understanding the critical scaling of several models of interest ...
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                In Chapter 1, the derivative and divergence operators are introduced in the framework of an isonormal Gaussian process associated ...
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                In Chapter 1, the derivative and divergence operators are introduced in the framework of an isonormal Gaussian process associated ...
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                A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate ...
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                This book is written for people who are interested in stochastic differential equations (SDEs) and their applications. It ...
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                This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and ...
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