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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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Statistical Inference for Fractional Diffusion Processes

point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes. The main focus;

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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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Statistical Mechanics & Random Walks

; subordinated Gaussian processes; random walk models in biophysical science; non-equilibrium dynamics and diffusion processes; global random walk;

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Stochastic Differential Equations and Diffusion Processes

Stochastic Differential Equations and Diffusion Processes;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Fractional Calculus and Fractional Processes with Applications to Financial Economics

fractional paradigm applies not only to calculus, but also to stochastic processes, used in many applications in financial economics such as;

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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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Statistical Inference for Diffusion Type Processes

processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to;

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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 in Cell Biology

equations and jump Markov processes, diffusion approximations and the system size expansion, first passage time problems, stochastic hybrid systems;

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Real Options Valuation

often non-stationary and exhibit non-normally distributed returns. Subsequently, more realistic stochastic volatility, jump diffusion, and Levy;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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Probability and Stochastic Processes for Physicists

between the Schroedinger equation and diffusion processes along the lines of Nelson's stochastic mechanics. A series of appendices cover;

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Probability and Stochastic Processes for Physicists

between the Schroedinger equation and diffusion processes along the lines of Nelson's stochastic mechanics. A series of appendices cover;

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Generalized Stochastic Processes

This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly;

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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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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework;

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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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Stochastic Systems In Merging Phase Space

of proofs for average, diffusion, and Poisson approximations of stochastic systems are presented, allowing one to simplify complex systems and;

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Mathematical Finance

Taking continuous-time stochastic processes allowing for jumps as its starting and focal point, this book provides an accessible;

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Analysis For Diffusion Processes On Riemannian Manifolds

Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion;

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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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Analytical and Stochastic Modelling Techniques and Applications

, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theory, etc.;

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