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Introduction to Stochastic Analysis

This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide;

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Stochastic Processes for Physicists

exercises, this textbook is an easily accessible introduction to stochastic processes and their applications, as well as methods for numerical;

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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.;

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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.;

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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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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Introduction to Stochastic Processes with R

An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced;

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Simulation of Stochastic Processes with Given Accuracy and Reliability

the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

modelling biological systems and processesDescribes and applies stochastic simulation algorithms to implement a stochastic formulation;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation;

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Numerical Methods For Stochastic Processes

new methods. Topics presented include Monte Carlo and quasi-Monte Carlo methods, the simulation of major stochastic processes and;

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Stochastic Modelling of Reactionâ Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Stochastic Modelling of Reaction-Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Stochastic Dynamics of Marine Structures

stochastic modelling and analysis of marine structures subjected to environmental loads. The first part of the book provides a detailed introduction;

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Stochastic Exponential Growth and Lattice Gases

volatility models and stochastic interest rates models such as the Black-Derman-Toy and Black-Karasinski models. These processes can be mapped to;

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Stochastic Modelling For Systems Biology

Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks;

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Stochastic Dynamics

of stochastic variables and stochastic processes have been indicated. Chapter 4 deals with the stochastic response analysis of single degrees;

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Introduction to Computational Earthquake Engineering

numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and;

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Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective;

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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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Probability

development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are;

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Levy Processes & Stochastic Calculus

introduction to the general theory of Levy processes, then leading on to develop the stochastic calculus for Levy processes in a direct and accessible;

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An Introduction To Stochastic Modeling

calculus, Introduction to Stochastic Modeling, Third Edition, bridges the gap between basic probability and an intermediate level course;

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Introduction to Stochastic Processes in

This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade;

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Stochastic Processes

process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes;

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Probability, Statistics, and Stochastic Processes

... Technometrics Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics;

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