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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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Stochastic Processes and their Applications

Stochastic Processes and their Applications illustrates the theoretical knowledge of random variables along with some practical skills to;

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A Second Course in Stochastic Processes

>A First Course. We emphasize a careful treatment of basic structures in stochastic processes in symbiosis with the analysis of natural;

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Stochastic Processes with Applications

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Almost Periodic Stochastic Processes

This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic;

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Stationary Stochastic Processes

details without being pedantic, Stationary Stochastic Processes: Theory and Applications is for the student with some experience with stochastic;

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An Introduction to Stochastic Processes with Applications to Biology

An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes;

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Fundamentals of Probability and Stochastic Processes with Applications to Commun

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic;

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Stochastic Processes

stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also;

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An Introduction to Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory;

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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;

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Stochastic Processes: Modeling and Simulation

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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Stochastic Processes for Physicists

Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook;

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Modern Trends in Controlled Stochastic Processes:

discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems;

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Analysis Of Fractional Stochastic Processes

This volume contains pedagogical, review and research level papers on fractional stochastic and quantum processes which have been the focus;

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Stochastic Analysis of Mixed Fractional Gaussian Processes

indices. Stochastic integration with respect to these processes is considered, as is the study of the existence and uniqueness of solutions;

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Stochastic PDEs and Dynamics

on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce;

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Semimartingales and their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Semimartingales and Their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Encyclopedia of Mathematics and its Applications

discussion of pointwise and stochastic convergence of processes, with concise proofs arising from the method of stochastic convergence. Later, the;

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Encyclopedia of Mathematics and its Applications

discussion of pointwise and stochastic convergence of processes, with concise proofs arising from the method of stochastic convergence. Later, the;

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Topics in stochastic processes

The notes are based on lectures on stochastic processes given at Scuola Normale Superiore in 1999 and 2000. Some new material was added and;

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Vector Integration and Stochastic Integration in Banach Spaces

and integration theory, functional analysis, probability theory, and stochastic processes. World-famous expert on vector and stochastic;

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Stochastic Processes and Applications

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Bayesian Analysis of Stochastic Process Models

stochastic processes, providing a unified treatment. * Provides a thorough introduction for research students. * Computational tools to deal with;

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