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Matrix-Analytic Methods in Stochastic Models

Based on the proceedings of the first International Conference on Matrix-Analytic Methods (MAM) in Stochastic Models, held in Flint;

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Matrix-analytic Methods

Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They;

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Asymptotic Methods and Stochastic Models in Problems of Wave Propagation

Asymptotic Methods and Stochastic Models in Problems of Wave Propagation is een boek van American Mathematical Society;

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Random Matrices, Random Processes and Integrable Systems

. Associated with studies of matrix models are certain stochastic processes, the Dyson processes , and their continuum diffusion limits, which govern;

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Stochastic Models, Information Theory, and Lie Groups, Volume 2: Analytic Methods and Modern Applications

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby;

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Stochastic Optimization with Simulation Based Optimization

of handling complex domain structures and random variables renders analytic methods helpless in many circumstances, stochastic optimization based on;

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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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Nonlinear Stochastic Systems with Network-Induced Phenomena

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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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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Advances in Linear Stochastic Programming

Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while;

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Handbook of Probabilistic Models

regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian;

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Matrix Algebra for Linear Models

A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra;

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Parameter Estimation in Stochastic Volatility Models

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test;

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Stochastic Exponential Growth and Lattice Gases

analogy is used to understand observed non-analytic dependence of the Lyapunov exponents of the stochastic growth processes considered, which;

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Stochastic Control and Filtering over Constrained Communication Networks

Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies;

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Methods of Structural Safety

probability of structure failures. This advanced engineering text describes methods developed to deal with stochastic aspects of structural behavior;

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A First Course in Stochastic Models

contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and;

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Numerical Methods For Stochastic Processes

Stochastic models deal with mathematical expectations (the probability of events, variance, etc). This study deals with the calculation;

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

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected;

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Stochastic Programming

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models;

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Stochastic Model Checking

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms;

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Stochastic Modelling for Systems Biology, Third Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use;

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Stochastic Modelling for Systems Biology, Third Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use;

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Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA;

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Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA;

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