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Random Measures, Theory and Applications

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic;

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Random Matrices: High Dimensional Phenomena

material on Lie groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity;

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Nonlinear Mathematics for Uncertainty and its Applications

study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences;

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Quantitative Graph Theory

disciplines Metrical properties of graphs and measures Mathematical properties of quantitative methods or measures in graph theory;

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Quantitative Graph Theory

disciplines Metrical properties of graphs and measures Mathematical properties of quantitative methods or measures in graph theory;

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Random Probability Measures on Polish Spaces

In this monograph the narrow topology on random probability measures on Polish spaces is investigated in a thorough and comprehensive way;

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Random Probability Measures on Polish Spaces

In this monograph the narrow topology on random probability measures on Polish spaces is investigated in a thorough and comprehensive way;

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Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes: With Emphasis on the Creation-Annihilation Techniques

A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the lent;

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Reproducing Kernel Hilbert Spaces in Probability and Statistics

more fruitful and promising applications, including statistical signal processing, nonparametric curve estimation, random measures, limit;

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Functional Integrals

of fields of modern mathematics, such as analysis, the theory of differential and integral equations, probability theory and the theory of random;

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Spatially Independent Martingales, Intersections, and Applications

the random measures with deterministic families of parametrized measures ${eta_t}_t$, and show that under some natural checkable conditions;

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Random Matrices, Random Processes and Integrable Systems

random processes) and integrable systems. The relations between random matrix models and the theory of classical integrable systems have long;

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Random Operator Theory

Random Operator Theory provides a comprehensive discussion of the random norm of random bounded linear operators, also providing important;

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Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications

Providing a basic tool for studying nonlinear problems, Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications;

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Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications

Providing a basic tool for studying nonlinear problems, Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications;

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Stochastic Integration with Jumps

processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point;

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Stochastic Integration with Jumps

processing. This 2002 text develops stochastic integration theory for both integrators (semimartingales) and random measures from a common point;

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Limit Distributions for Sums of Independent Random Vectors

central limit theory of random vectors, which lies at the heart of probability and statistics. The authors develop the central limit theory;

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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and;

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Probability With a View Towards Statistics, Volume II

probabilities, strong Markov chains, random walks, and optimal stopping strategies in random games. Unusual topics include the transformation theory;

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An Introduction to Random Currents and Their Applications

This book introduces random currents by presenting underlying mathematical methods necessary for applications. The theory of currents is an;

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Elementary Applications of Probability Theory

sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and;

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Elementary Applications of Probability Theory

sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and;

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Random Matrix Models and their Applications

Random matrices arise from, and have important applications to, number theory, probability, combinatorics, representation theory, quantum;

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Probability and Random Processes

processing and communications applications. It introduces the reader to the basics of probability theory and explores topics ranging from random;

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Random Matrix Theory And Its Applications

Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply;

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Mathematical Physics at Saint-Flour

, Edward: Stochastic mechanics and random fields.- Albeverio, Sergio: Theory of Dirichlet forms and applications.;

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