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