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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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Chaotic Modelling and Simulation

Chaotic Modelling and Simulation: Analysis of Chaotic Models, Attractors and Forms presents the main models developed by pioneers of chaos theory;

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Chaotic Modelling and Simulation

Chaotic Modelling and Simulation: Analysis of Chaotic Models, Attractors and Forms presents the main models developed by pioneers of chaos theory;

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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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Potential Analysis of Stable Processes and its Extensions

Stable Levy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular;

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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

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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Monte-Carlo Methods and Stochastic Processes

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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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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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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Chaotic Transitions in Deterministic and Stochastic Dynamical Systems

. No previous exposure to dynamical systems theory or the theory of stochastic processes is required. The theoretical prerequisites and;

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Introduction to Stochastic Analysis

stochastic integration, rather than on abstract theories of measure and stochastic processes. The proofs are rather simple for practitioners and, at;

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Levy Processes And Infinitely Divisible Distributions

Levy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time;

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Levy Processes and Infinitely Divisible Distributions

Levy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time;

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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 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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Probability

on the Axioms Probability Laws II: Results of Conditioning Random Variables and Stochastic Processes Discrete Random Variables and;

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Advances in Stochastic Structural Dynamics

processes, and sample path behavior of Gaussian processes. For scientists and researchers.;

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Asymptotic Properties of Permanental Sequences

in stochastic processes, infinitely divisible processes and Markov chains.;

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Stochastic Limit Theory

probability. Other subjects treated include: stochastic processes, mixing processes, martingales, mixingales, and near-epoch dependence; the weak and;

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Selfsimilar Processes

long been postulated as a means to model this behavior, and the concept of selfsimilarity for a stochastic process is now proving to be;

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Random Processes By Example

. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic;

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Stochastic Models with Power-Law Tails

probabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_t for real- and matrix-valued random variables A_t, where (A_t,B_t;

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Analytical and Stochastic Modelling Techniques and Applications

from 30 submissions. The papers discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems;

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Analytical and Stochastic Modelling Techniques and Applications

numerous submissions. The papers discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems;

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Analytical and Stochastic Modelling Techniques and Applications

from 27 submissions. The scope of the conference is on following topics: analytical, numerical and simulation algorithms for stochastic systems;

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