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Classical Potential Theory and Its Probabilistic Counterpart

From the reviews: Here is a momumental work by Doob, one of the masters, in which Part 1 develops the potential theory associated with;

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Potential Theory in Matsue

, 2004. The topic of the workshop was Potential Theory and its related fields. There were stimulus talks from classical potential theory to pluri;

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Beyond Quantum

to the analysis of the probabilistic structure of quantum theory, probing the limits of classical probabilistic representation of quantum;

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Probabilistic Methods in Geometry, Topology and Spectral Theory

on Probabilistic Methods in Spectral Geometry and PDE brought together some of the leading researchers in quantum chaos, semi-classical;

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Probabilistic Risk Analysis

Probabilistic risk analysis aims to quantify the risk caused by high technology installations in situations where classical statistical;

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Theories Of Probability

based on qualitative approaches to probabilistic-like uncertainty, and includes qualitative theories for the standard theory as well as several;

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Contextual Approach to Quantum Formalism

The aim of this book is to show that the probabilistic formalisms of classical statistical mechanics and quantum mechanics can be unified;

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Self-Field Theory

classical electromagnetics of the electron's self-fields that were studied by Abraham and Lorentz in 1903-04. Due to its bi-spinorial motions for;

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Geomathematically Oriented Potential Theory

in three-dimensional Euclidean space and its application to gravitation and geomagnetism. They also discuss surface potential theory on the unit;

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Probabilistic Inequalities

In this monograph, the author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities;

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Structured Dependence between Stochastic Processes

of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications;

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Quantum Stochastics

The classical probability theory initiated by Kolmogorov and its quantum counterpart, pioneered by von Neumann, were created at about the;

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Arbitrage Theory in Continuous Time

interest models and their connection to potential theory and stochastic discount factors.More advanced areas of study are clearly;

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Risk-Neutral Valuation

theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives. On the probabilistic;

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Potential Analysis of Stable Processes and its Extensions

probabilistic potential theory of stable stochastic processes, and, from the analytical point of view, of the fractional Laplacian. The introduction;

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Probabilistic Extensions of Various Logical Systems

The contributions in this book survey results on combinations of probabilistic and various other classical, temporal and justification;

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Quantum Fluctuations

, statistics, and spin are described in classical terms. In addition to developing the formal mathematical aspects of the theory, the book contains;

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On Nonsymmetric Topological & Probabilities Structures

functions, called probabilistic quasi-pseudo-metrics and fuzzy quasi-pseudo-metrics , are generalisations of classical quasi-pseudo metrics. For the;

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London Mathematical Society Lecture Note Series

Classical string theory is concerned with the propagation of classical 1-dimensional curves 'strings', and the theory has connections to;

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Greek Declamation

often bizarre, themes of the speeches and discusses the declaimers' public performances, rhetorical theory and knowledge and use of classical;

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Quantum Foundations, Probability and Information

. Overall, authors cover a diverse set of topics, including quantum and classical field theory and oscillatory processing, quantum mechanics from a;

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Introduction to Analytic and Probabilistic Number Theory

This book provides a self contained, thorough introduction to the analytic and probabilistic methods of number theory. The prerequisites;

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History of the Central Limit Theorem

. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

probabilistic hesitant fuzzy preference information, Improved TODIM based on prospect theory and the improved TODIM with probabilistic hesitant fuzzy;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

probabilistic hesitant fuzzy preference information, Improved TODIM based on prospect theory and the improved TODIM with probabilistic hesitant fuzzy;

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Applied Probabilistic Calculus for Financial Engineering

necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes;

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A Natural Introduction to Probability Theory

necessary. The route is rigorous but does not use measure theory. The text is illustrated with many original and surprising examples and problems;

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