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Classical and Spatial Stochastic Processes

mutations, influenza evolution, drug resistance, and immune response. The models used elegantly apply various classical stochastic models presented;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It;

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Random Fields for Spatial Data Modeling

development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial;

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Quantum Stochastic Processes and Noncommutative Geometry

The classical theory of stochastic processes has important applications arising from the need to describe irreversible evolutions;

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Cambridge Studies in Advanced Mathematics

of diffeomorphisms, and through the former to study the properties of stochastic flows. The classical theory was initiated by K. Ito and since then has been;

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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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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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Ecology of Populations

stochastic processes and spatial structure and shows how elementary analytical tools can be used to understand population fluctuations, synchrony;

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Ecology of Populations

stochastic processes and spatial structure and shows how elementary analytical tools can be used to understand population fluctuations, synchrony;

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Set-Indexed Martingales

directed index set and set-indexed stochastic processes. Part One presents several classical concepts extended to this setting, including: stopping;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It;

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Quantum Stochastics

-contained account of the core of quantum probability and quantum stochastic processes for graduate students and researchers. The only assumed;

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Stochastic Methods in Asset Pricing

A comprehensive overview of the theory of stochastic processes and its connections to asset pricing, accompanied by some concrete;

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Encyclopedia of Mathematics and its Applications

book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and many applications;

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Encyclopedia of Mathematics and its Applications

book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and many applications;

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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

investigated under the conditions of classical and non-classical (Levy and Poisson) approximations in addition to jumping stochastic approximations and;

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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 Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

, pharmaceutical, and environmental engineering processes. Presents various classical, stochastic, evolutionary, and artificial intelligence;

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Generated Dynamics of Markov and Quantum Processes

physics can conceptually be put into the context of generated stochastic processes. Classical mechanics and classical field theory are;

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Quantum Quadratic Operators and Processes

of quadratic stochastic operators and their Markov and related processes. The asymptotic behavior of dynamical systems generated by classical and;

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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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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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