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Discrete Stochastic Processes

Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time;

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Weak Convergence of Financial Markets

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial markets. Split into;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Mathematical Statistics and Stochastic Processes

second case is very important for today s practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and;

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Stochastic Exponential Growth and Lattice Gases

The book discusses a class of discrete time stochastic growth processes for which the growth rate is proportional to the exponential of a;

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Markov Processes and Applications

, Professor at Universite de Paris-Orsay, France. Markov processes is the class of stochastic processes whose past and future are conditionally;

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Stochastic Processes in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. A wide range;

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Risk-Neutral Valuation

side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration;

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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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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal;

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Markov Processes

Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Hyperfinite Dirichlet Forms and Stochastic Processes

processes, and summarizes in an epilogue the model-theoretic genericity of hyperfinite stochastic processes theory.;

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Stochastic Processes

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way;

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Introduction to the Theory of Random Processes

This book concentrates on some general facts and ideas of the theory of stochastic processes. The topics include the Wiener process;

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Brownian Motion and Stochastic Calculus

stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic;

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Probability Theory and Stochastic Processes

The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications;

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Basics of Probability and Stochastic Processes

This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It;

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Basics of Probability and Stochastic Processes

This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete Communication Systems

of digital and analog communications at a graduate level. Based on the orthogonality principles and theory of discrete time stochastic processes;

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Handbook of Markov Decision Processes

OVERVIEW OF MARKOV DECISION PROCESSES The theory of Markov Decision Processes-also known under several other names including sequential stochastic;

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Handbook of Markov Decision Processes

OVERVIEW OF MARKOV DECISION PROCESSES The theory of Markov Decision Processes-also known under several other names including sequential stochastic;

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Polya Urn Models

modern tools, including exchangeability and stochastic processes via urns. It reviews classical probability problems and presents dichromatic;

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