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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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Stochastic Dynamical Systems

This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out;

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Complex Stochastic Systems

Complex stochastic systems comprises a vast area of research, from modelling specific applications to model fitting, estimation procedures;

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Complex Stochastic Systems

Complex stochastic systems comprises a vast area of research, from modelling specific applications to model fitting, estimation procedures;

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Comparison Methods for Stochastic Models and Risks

Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;

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Analytical and Stochastic Modeling Techniques and Applications

This book constitutes the refereed proceedings of the 20th International Conference on Analytical and Stochastic Modelling and Applications;

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Recent Development in Stochastic Dynamics and Stochastic Analysis

areas. Stochastic dynamical systems tools for modeling and simulation are highly demanded in investigating complex phenomena in, for example;

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An Introduction To Stochastic Dynamics

The mathematical theory of stochastic dynamics has become an important tool in the modeling of uncertainty in many complex biological;

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Introduction To Stochastic Dynamics

The mathematical theory of stochastic dynamics has become an important tool in the modeling of uncertainty in many complex biological;

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London Mathematical Society Lecture Note Series

Stochastic partial differential equations can be used in many areas of science to model complex systems that evolve over time. Their;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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Analysis Of Fractional Stochastic Processes

This volume contains pedagogical, review and research level papers on fractional stochastic and quantum processes which have been the focus;

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Nonlinear Stochastic Systems with Incomplete Information

Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem;

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Stochastic Simulation Optimization For Discrete Event Systems

of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and;

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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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Stochastic models for repairable systems

STOCHASTIC MODELS FOR REPAIRABLE SYSTEMS;

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Innovation Approach To Random Fields, An

or a surface. As the parameter varies, the random field carries much information and hence it has complex stochastic structure.The authors;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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Functional Adaptive Control

Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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Stochastic Modelling for Systems Biology, Third Edition

of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition;

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Stochastic Modelling for Systems Biology, Third Edition

of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition;

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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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Stochastic Processes in Cell Biology

of biological topics are covered including normal and anomalous diffusion in complex cellular environments, stochastic ion channels and excitable;

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