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In order to make informed decisions, there are three important elements: intuition, trust, and analytics. These three elements—intuition, analytics, and trust—make a... Læs mere
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Scientific knowledge is doubling every 10 to 15 years worldwide. Who generates this knowledge? Where is... Læs mere
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A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of... Læs mere
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This book shows how to use statistical computing in survey analysis. It presents a linked set of... Læs mere
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This book covers recent advances in the field, including vine copula modeling of high-dimensional data. The author develops vine copula models and generalizations,... Læs mere
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A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the... Læs mere
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While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often... Læs mere
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Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management... Læs mere
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The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This... Læs mere
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Offering a unique balance between applications and calculations, this book incorporates the application background of finance and insurance with... Læs mere
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Bringing together all the relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various... Læs mere
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Introduction to Spatial Econometrics presents a variety of regression methods for analyzing spatial data samples that violate the traditional assumption of... Læs mere