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Model Theory of Stochastic Processes

This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on;

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Stochastic Methods in Economics and Finance

: martingale methods, stochastic processes, optimal stopping, the modeling of uncertainty using a Wiener process, Ito's Lemma as a tool of stochastic;

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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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Stochastic Models of Neural Networks

embrace the approximation of non-random functions as well as the theory of stochastic processes. The networks so defined constitute an original;

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Stochastic Processes

of empirical phenomena for which stochastic processes provide mathematical models, and it develops the methods of probability model-building.

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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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Semimartingales and their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Semimartingales and Their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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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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Semimartingale Theory and Stochastic Calculus

Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the;

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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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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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Measure, Probability, and Mathematical Finance

Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure;

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Ambit Stochastics

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This;

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Stochastic Processes for Physicists

provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure;

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Limit Theorems for Stochastic Processes

. Coverage develops in detail useful parts of the general theory of stochastic processes, such as martingale problems and absolute continuity or;

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Stochastic Modeling

minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth;

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Stochastic Models of Decision Making in Arranged Marriages

The central objective of this work is to demonstrate how the theory of stochastic processes and the techniques of stochastic modeling can;

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Sojourns And Extremes Of Stochastic Processes

Sojourns and Extremes of Stochastic Processes is a research monograph in the area of probability theory. During the past thirty years;

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Sojourns And Extremes of Stochastic Processes

Sojourns and Extremes of Stochastic Processes is a research monograph in the area of probability theory. During the past thirty years;

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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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Probability

development of distribution theory while also introducing the reader to basic statistical inference. In this way, the major stochastic processes are;

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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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Principles Of Infinitesimal Stochastic And Financial Analysis

, which is the theory of continuous-time stochastic processes: a thorough study of mathematical finance is considered to be possible only at;

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Stochastics, Control and Robotics

This book discusses various problems in stochastic Processes, Control Theory, Electromagnetics, Classical and Quantum Field Theory;

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Stochastic Processes

process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes;

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Hyperfinite Dirichlet Forms and Stochastic Processes

processes, and summarizes in an epilogue the model-theoretic genericity of hyperfinite stochastic processes theory.;

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