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Morphological Models of Random Structures

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The;

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An Introduction to Random Sets

The study of random sets is a large and rapidly growing area with connections to many areas of mathematics and applications in widely;

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An Introduction to Random Sets

The study of random sets is a large and rapidly growing area with connections to many areas of mathematics and applications in widely;

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Random Sets

This IMA Volume in Mathematics and its Applications RANDOM SETS: THEORY AND APPLICATIONS is based on the proceedings of a very successful;

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Level Sets and Extrema of Random Processes and Fields

A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema;

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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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Some Random Series of Functions

Now in a paperback edition for the first time, this second edition of Some Random Series of Functions covers random series in Banach and;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It;

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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed;

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Spatially Independent Martingales, Intersections, and Applications

The authors define a class of random measures, spatially independent martingales, which we view as a natural generalization of the;

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Random Sets in Econometrics

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory;

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Random Sets in Econometrics

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory;

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First Course in Probability

: Combinatorial Analysis; Axioms of Probability; Conditional Probability and Independence; Random Variables; Continuous Random Variables; Jointly;

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Lower Previsions

lower previsions with Choquet integration, belief functions, random sets, possibility measures, various integrals, symmetry, and representation;

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Random Fourier Series with Applications to Harmonic Analysis. (AM-101), Volume 101

In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s. of random Fourier series on;

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Random Processes For Engineers

This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems;

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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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Probability

it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the;

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A First Course in Random Matrix Theory

of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix;

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Stein's Method And Applications

future directions. The papers in the collection include applications to the study of random binary search trees, Brownian motion on manifolds;

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On Sets and Graphs

counting and encoding problems, the random generation of sets, and the analysis of infinite sets; presents excerpts of formal proofs concerning;

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Introduction to Parallel Algorithms

is on the application of the PRAM (parallel random access machine) model of parallel computation, with all its variants, to algorithm analysis;

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Multivariate Generalized Linear Mixed Models Using R

members of the family of generalized linear models, gradually adding complexity to the modeling framework by incorporating random effects. After;

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The Random Matrix Theory of the Classical Compact Groups

This is the first book to provide a comprehensive overview of foundational results and recent progress in the study of random matrices from;

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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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Probability Models

The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It;

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