Titlebook: Gabler Büro Lexikon; Jo Appel,Manfred Leubner,Annemarie Weighardt,Ernst Book 1982 Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH, Wie

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Markov Processes,Markov processes constitute a fundamental class of stochastic processes, characterized by a memoryless property which renders them highly tractable and beneficial in practical applications.

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Functions on Riemann Surfaces,Let . be a compact connected Riemann surface. We have seen that holomorphicfunctions on . are constant functions.

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Stochastic Processes,Random variables describe the . of a random phenomenon: for example, an unobservable position of a particle in a physics model or the price at a future date of a stock in a financial model.

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Conditional Expectation, Conditional Independence, Introduction to Martingales,From a theoretical vantage point, conditioning is a useful means of exploiting auxiliary information. From a practical vantage point, conditional probabilities reflect the change in unconditional probabilities due to additional knowledge.

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Probabilities of Large Deviations,At the beginning of this course on probability theory we considered the probabilities . with .. = .. for a sequence of independent random variables .., ..,..., and we estimated those probabilities by Chebyshev’s inequality:

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Outline: Uniformization by Spectral Determinant,In the next chapter we give an alternative proof of the above corollary, i.e. of the Uniformization Theorem. Our proof is largely inspired by the work [82] and [86].