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- Springer 2008; US$ 129.00
This book provides the first rigorous derivation of mesoscopic and macroscopic equations from a deterministic system of microscopic equations. The microscopic equations are cast in the form of a deterministic (Newtonian) system of coupled nonlinear oscillators for N large particles and infinitely many small particles. The mesoscopic equations are stochastic... more...
- Springer 2009; US$ 149.00
Organized into four chapters, this book presents several classes of processes used in mathematics, computational biology, finance and the social sciences. Dealing with simulation schemes, it focuses on parametric estimation techniques. It also contains topics like nonparametric estimation, model identification and change point estimation. more...
- World Scientific Publishing Company 2012; US$ 137.00
This book provides a broad introduction to the generalized inverses, MoorePenrose inverses, Drazin inverses and TS outer generalized inverses and their perturbation analyses in the spaces of infinite-dimensional. This subject has many applications in operator theory, operator algebras, global analysis and approximation theory and so on.... more...
- Elsevier Science 1981; US$ 72.95
Stochastic Differential Equations and Diffusion Processes more...
- Elsevier Science 2007; US$ 89.95
This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source for pure and applied mathematicians, statisticians and probabilists,... more...
- Springer 2014; US$ 189.00
This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order partial differential equations (PDEs), and financial mathematics. It pays special attention to the relations between SDEs/BSDEs and second order PDEs under minimal... more...
- Elsevier Science 2014; US$ 93.95
Being a systematic treatment of the modern theory of stochastic integrals and stochastic differential equations, the theory is developed within the martingale framework, which was developed by J.L. Doob and which plays an indispensable role in the modern theory of stochastic analysis. A considerable number of corrections and improvements have been... more...
- Elsevier Science 2014; US$ 72.95
Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic... more...
- Elsevier Science 2014; US$ 72.95
Stochastic Differential Equations and Applications, Volume 2 is an eight-chapter text that focuses on the practical aspects of stochastic differential equations. This volume begins with a presentation of the auxiliary results in partial differential equations that are needed in the sequel. The succeeding chapters describe the behavior of the sample... more...