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Hamilton flows and evolution semigroups
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ISBN: 0582031907 Year: 1990 Volume: vol 239 Publisher: New York Longman scientific & technical

The method of maximum entropy
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ISBN: 9810218125 Year: 1995 Publisher: Singapore World Scientific

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Loss Data Analysis
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ISBN: 9783111048185 Year: 2023 Publisher: Berlin Boston

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Linear inverse problems : the maximum entropy connection (with CD-ROM)
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ISBN: 1283148684 9786613148681 9814338788 9789814338783 9789814338776 981433877X Year: 2011 Publisher: Hackensack, N.J. : World Scientific,

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This book describes a useful tool for solving linear inverse problems subject to convex constraints. The method of maximum entropy in the mean automatically takes care of the constraints. It consists of a technique for transforming a large dimensional inverse problem into a small dimensional non-linear variational problem. A variety of mathematical aspects of the maximum entropy method are explored as well.


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Loss Data Analysis : The Maximum Entropy Approach
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ISBN: 3110516136 Year: 2018 Publisher: Berlin ; Boston : De Gruyter,

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This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures


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Loss Data Analysis
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ISBN: 9783110516074 3110516071 Year: 2018 Publisher: Berlin/Boston De Gruyter, Inc.

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Recent Advances in Applied Probability
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ISBN: 9780387233949 Year: 2005 Publisher: Boston MA Springer US

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Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability.


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Recent Advances in Applied Probability
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ISBN: 9780387233949 Year: 2005 Publisher: Boston, MA Springer Science + Business Media, Inc

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