Stochastic Processes
Stochastic Processes and Models
Stochastic Processes and Models Publisher: Oxford University Press | ISBN: 0198568142 | edition 2005 | PDF | 344 pages | 1,1 mb Stochastic Processes and Models provides a concise and lucid introduction to simple stochastic processes and models. Including numerous exercises, problems and solutions, it covers the key concepts and tools, in particular: random walks, [...]
Marek Capinski Tomasz Zastawniak Mathematics for Finance: An Introduction to Financial Engineering
Marek Capinski, Tomasz Zastawniak – Mathematics for Finance: An Introduction to Financial Engineering Springer | 2004 | ISBN 1852333308 | Pages: 310 | PDF | 6.50 MB Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas [...]
Stochastic Processes in the Neurosciences (C B M S N S F Regional Conference Series in Applied Mathematics)
Stochastic Processes in the Neurosciences (C B M S – N S F Regional Conference Series in Applied Mathematics) Publisher: Soc for Industrial
Harmonic Analysis and the Theory of Probability
Salomon Bochner, “Harmonic Analysis and the Theory of Probability” Dover Publications | 2005 | ISBN: 0486446204 | 192 pages | DJVu | 8,6 MB This classic text emphasizes the stochastic processes and the interchange of stimuli between probability and analysis. Non-probabilistic topics include Fourier series and integrals in many variables; the Bochner integral; and the [...]
Nonlinear Control in the Year 2000: Volume 1 (Lecture Notes in Control and Information Sciences)
Nonlinear Control in the Year 2000: Volume 1 (Lecture Notes in Control and Information Sciences) Publisher:Springer | ISBN: 1852333634 | edition 2000 | PDF | 598 pages | 22,4 mb Control of nonlinear systems, one of the most active research areas in control theory, has always been a domain of natural convergence of research interests [...]
Asymptotic Theory of Statistical Inference for Time Series
Masanobu Taniguchi, Yoshihide Kakizawa, “Asymptotic Theory of Statistical Inference for Time Series “ Springer | 2000 | ISBN: 0387950397 | 661 pages | Djvu | 5,3 MB The primary aims of this book are to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual [...]
Stochastic Methods in Finance: Lectures
Stochastic Methods in Finance: Lectures given at the C.I.M.E.-E.M.S. Summer School held in Bressanone/Brixen, Italy, July 6-12, 2003 (Lecture Notes in Mathematics / Fondazione C.I.M.E., Firenze): Kerry Back, Tomasz R. Bielecki, Christian Hipp, Shige Peng, Walter Schachermayer, Marco Frittelli, Wolfgang Runggaldier Springer | ISBN: 3540229531 | December 22, 2004 | djvu (ocr) | 307 pages [...]
Probability Random Variables and Stochastic Processes
here is how to order: Solution Manual in PDF Format for every problem in the book. Buy it from this df English : Probability Random Variables and Stochastic Processes Chinese : Probability Random Variables and Stochastic Processes
Matrix Analysis for Statistics
James R. Schott, “Matrix Analysis for Statistics” Wiley-Interscience | 1996-10-11 | ISBN: 0471154091 | 426 pages | Djvu | 3 MB A complete, self-contained introduction to matrix analysis theory and practice Matrix methods have evolved from a tool for expressing statistical problems to an indispensable part of the development, understanding, and use of various types [...]
Basics of Applied Stochastic Processes
Richard Serfozo, “Basics of Applied Stochastic Processes” Springer | 2009-01-01 | ISBN: 3540893318 | 443 pages | PDF | 3,4 MB Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time, renewal and regenerative processes, Poisson processes, and [...]