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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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Set-Indexed Martingales

geometry- Set Indexed Martingales will undoubtedly generate great interest and inspire further research and development of the theory and;

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Theory and Statistical Applications of Stochastic Processes

processes, martingales, Markov properties, continuity and related properties of trajectories with contemporary subjects: integration with respect to;

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Continuous Exponential Martingales and BMO

In three chapters on Exponential Martingales, BMO-martingales, and Exponential of BMO, this book explains in detail the beautiful;

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Random Walk, Brownian Motion, and Martingales

processes, Brownian motion, and martingales. Building from simple examples, the authors focus on developing context and intuition before formalizing;

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Stochastic Analysis

martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and;

Vergelijkbare producten zoals Stochastic Analysis

Stochastic Analysis

martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and;

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Inequalities In Analysis And Probability (Third Edition)

inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales, to transformed Brownian motions;

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Geometry and Martingales in Banach Spaces

Geometry and Martingales in Banach Spaces provides a compact exposition of the results explaining the interrelations existing between the;

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Geometry and Martingales in Banach Spaces

Geometry and Martingales in Banach Spaces provides a compact exposition of the results explaining the interrelations existing between the;

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Martingales in Banach Spaces

This book focuses on the major applications of martingales to the geometry of Banach spaces, and a substantial discussion of harmonic;

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Decoupling

A friendly and systematic introduction to the theory and applications. The book begins with the sums of independent random variables and;

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Probability With a View Towards Statistics, Volume I

numbers for independent and non-independent random variables, transforms, special distributions, convergence in law, the central limit theorem for;

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Probability

, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this;

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Stochastic Processes

provides guidelines and tools to study the applications. The coverage includes research developments in Markov property, martingales, regenerative;

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Encyclopedia of Mathematics and its Applications

in probability, analysis and ergodic theory. Martingales and related processes are considered from several points of view. The book opens with a;

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Encyclopedia of Mathematics and its Applications

in probability, analysis and ergodic theory. Martingales and related processes are considered from several points of view. The book opens with a;

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Seminaire De Probabilites Xivi

by Mark Yor, this volume contains contributions on branching processes, Levy processes, random walks and martingales and their connection;

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Martingales and Markov Chains

A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway;

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Martingales and Markov Chains

A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway;

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Stochastic Integration and Differential Equations

exponential local martingales to be martingales, and a modern treatment of compensators. Chapter 4 treats sigma martingales (important in finance;

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Complex Space Source Theory of Spatially Localized Electromagnetic Waves

of Fourier and Bessel transform techniques and the complex space source theory of spatially localized electromagnetic waves is integrated as a branch;

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Backward Stochastic Differential Equations and BMO martingales

(BSDEs) and Bounded Mean Oscillation (BMO) martingales. In second chapter an interesting connections between theory of BSDEs and BMO martingales;

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Inequalities In Analysis And Probability

sharper bounds and generalizations to the sum or the supremum of random variables, to martingales and to transformed Brownian motions. The proofs;

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Sequential Stochastic Optimization

essential supremum, stopping points, accessibility, martingales and supermartingales indexed by INd Conditions which ensure the integrability;

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Stochastic Integration Theory

(martingales, Levy processes) and important examples (Brownian motion, Poisson process).;

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Elementary Probability Theory

This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which;

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