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Modern Trends in Controlled Stochastic Processes:

discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems;

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Controlled Markov Processes and Viscosity Solutions

This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Stochastic Processes: Theory and Methods

J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes;

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Trends in Stochastic Analysis

Presenting important trends in the field of stochastic analysis, this collection of thirteen articles provides an overview of recent;

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Stochastic Calculus for Quantitative Finance

of the Strasbourg school. This book covers the general theory of stochastic processes, local martingales and processes of bounded;

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Stochastic Cauchy Problems in Infinite Dimensions

random processes with values in Hilbert spaces. Accessible to non-specialists, the book explores how modern semi-group and distribution methods;

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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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Simulation of Stochastic Processes with Given Accuracy and Reliability

the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and;

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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class;

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Optional Processes

It is well-known that modern stochastic calculus has been exhaustively developed under usual conditions. Despite such a well-developed;

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General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic;

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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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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Random Measures, Theory and Applications

properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The;

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Markov Processes from K. Ito's Perspective (AM-155)

modern theory of Markov processes was initiated by A. N. Kolmogorov. However, Kolmogorov's approach was too analytic to reveal the probabilistic;

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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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Potential Analysis of Stable Processes and its Extensions

Stable Levy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular;

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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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Handbook of Markov Decision Processes

OVERVIEW OF MARKOV DECISION PROCESSES The theory of Markov Decision Processes-also known under several other names including sequential stochastic;

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Handbook of Markov Decision Processes

OVERVIEW OF MARKOV DECISION PROCESSES The theory of Markov Decision Processes-also known under several other names including sequential stochastic;

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Stochastic Processes

stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also;

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Stochastic Processes and Applications

communities in modern stochastic processes, algebraic structures and their interplay and applications. The chapters cover both theory and applications;

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An Introduction to Continuous-Time Stochastic Processes

processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete;

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Stochastic Processes for Physicists

Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook;

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