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#### Stochastic Volatility

Oxford University Press, UK 2005; US$ 64.99Neil Shephard has brought together a set of classic and central papers that have contributed to our understanding of financial volatility. They cover stocks, bonds and currencies and range from 1973 up to 2001. Shephard, a leading researcher in the field, provides a substantial introduction in which he discusses all major issues involved. General Introduction... more...

#### Stochastik

De Gruyter 2009; US$ 49.00The fourth German edition of this textbook presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, and is addressed to students of mathematics as well as scientists and computer scientists with interest in the mathematical aspects of stochastics. more...

#### Structural Dynamic Analysis with Generalized Damping Models

Wiley 2013; US$ 129.00Since Lord Rayleigh introduced the idea of viscous damping in his classic work "The Theory of Sound" in 1877, it has become standard practice to use this approach in dynamics, covering a wide range of applications from aerospace to civil engineering. However, in the majority of practical cases this approach is adopted more for mathematical convenience... more...

#### Student?s t-Distribution and Related Stochastic Processes

Springer Berlin Heidelberg 2012; US$ 39.95This brief monograph is an in-depth study of the infinite divisibility and self-decomposability properties of central and noncentral Student?s distributions, represented as variance and mean-variance mixtures of multivariate Gaussian distributions with the reciprocal gamma mixing distribution. These results allow us to define and analyse Student-Lévy... more...

#### Topics in Stochastic Processes

Elsevier Science 2014; US$ 72.95Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This book contains five chapters and begins with the L2 stochastic processes and the concept of prediction theory. The next chapter discusses the principles of ergodic theorem to real analysis,... more...

#### Upper and Lower Bounds for Stochastic Processes

Springer Berlin Heidelberg 2014; US$ 149.00In addition to its central focus on generic chaining, which allows for optimal bounds in Gaussian and Bernoulli processes, this volume on modern stochastic methods includes key applications and a variety of complete solutions to a number of classical problems. more...

#### Advances In Deterministic And Stochastic Analysis

World Scientific Publishing Company 2007; US$ 145.00This volume collects articles in pure and applied analysis, partial differential equations, geometric analysis and stochastic and infinite-dimensional analysis. In particular, the contributors discuss integral and pseudo-differential operators, which play an important role in partial differential equations. Other methods of solving the partial differential... more...

#### Almost Periodic Stochastic Processes

Springer New York 2011; US$ 139.00Extending the author's work on almost periodic stochastic difference and differential equations, this book covers almost periodic random processes and applications. Covers existence, uniqueness, and stability of solutions for abstract stochastic difference. more...

#### Amplitude Equations For Stochastic Partial Differential Equations

World Scientific Publishing Company 2007; US$ 65.00Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However, there seems to be a lack of literature for stochastic equations, although the theory is being successfully used in the applied community, such as for convective instabilities, without reliable... more...

#### Analysis and Probability

Elsevier Science 2013; US$ 150.00Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis... more...