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Structured Dependence between Stochastic Processes

The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including;

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Selfsimilar Processes

example of this is the absolute returns of equity data in finance. Selfsimilar stochastic processes (particularly fractional Brownian motion) have;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Cambridge Tracts in Mathematics

Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for;

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Stochastic Causality

., stochastic processes.;

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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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Statistical Inference for Fractional Diffusion Processes

Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial;

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently;

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Stochastic Orders in Reliability and Risk

Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic;

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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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Combinatorial Stochastic Processes

of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations;

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Probability and Stochastic Processes for Physicists

mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability;

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Probability and Stochastic Processes for Physicists

mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability;

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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. In the second edition the;

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Scaling, Fractals and Wavelets

stochastic processes with prescribed scaling properties (self-similar processes, locally self-similar processes, fractionally filtered processes;

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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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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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Functional Gaussian Approximation for Dependent Structures

influence each another. It provides a better understanding of the structure and asymptotic behaviour of stochastic processes. Two approaches are;

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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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Actuarial Theory for Dependent Risks

vital.Combining coverage of stochastic order and risk measure theories with the basics of risk management and stochastic dependence, this book provides an;

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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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Probability on Real Lie Algebras

classical and quantum stochastic processes on Lie algebras. In the early chapters, focus is placed on concrete examples of the links between;

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Stochastic Processes

Stochastic Processes is een boek van Rodney Coleman;

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Foundations of Iso-Differential Calculus

, iso-Wiener processes, Paley-Wiener-Zygmund integral, Itos iso-integral, and they are deducted some of their properties. Chapter 2 is devoted;

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Long-range Dependence and Self-similarity

limiting Hermite processes; fractional Brownian motion and its stochastic calculus; several celebrated decompositions of fractional Brownian motion;

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A Second Course in Stochastic Processes

This Second Course continues the development of the theory and applications of stochastic processes as promised in the preface of

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Stochastic Differential Equations and Diffusion Processes

Stochastic Differential Equations and Diffusion Processes;

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