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Continuous Exponential Martingales and BMO

properties of continuous exponential martingales that play an essential role in various questions concerning the absolute continuity of probability;

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An Introduction to Measure and Probability

probability, while readers with a background in finance, business, or engineering will gain a technical understanding of discrete martingales in the;

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Inequalities In Analysis And Probability (Third Edition)

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops new analytical;

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Inequalities In Analysis And Probability

The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical;

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Mathematics of Probability

This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then;

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Stochastic Analysis

chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable;

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Stochastic Analysis

chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable;

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Hilbert Space Methods In Probability And Statistical Inference

Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory;

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Probability

extensions, the book concludes with an extensive chapter on martingales.;

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A Literary History of America,

, interchangeability and martingales, with emphasis on stopping times, both as tools in providing theorems and as objects of interest themselves.;

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Probability

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems;

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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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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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Seminaire de Probabilites XXIII

Besides a number of papers on classical areas of research in probability such as martingale theory, Malliavin calculus and 2-parameter;

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Seminaire De Probabilites Xivi

Providing a broad overview of the current state of the art in probability theory and its applications, and featuring an article coauthored;

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Probability with Martingales

Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social;

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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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Probability

This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks;

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Risk Neutral Pricing and Financial Mathematics

financial modeling, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option;

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Probability For Analysts

requires little or no background in probability theory. It emplhasizes topics of interest to analysts, including random series, martingales and;

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Probability

, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well;

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Probability

, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well;

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Stochastic Processes For Insurance And Finance

mathematics. Building on recent and rapid developments in applied probability, the authors describe in general terms models based on Markov processes;

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Probability for Statisticians

is considerable emphasis placed on the quantile function as well as the distribution function, with both the bootstrap and trimming presented. The section;

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Options Pricing and Portfolio Optimization

other scientists with these skills. The mathematics involved in modern finance springs from the heart of probability and analysis: the Ito;

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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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