Titlebook: LATIN 2000: Theoretical Informatics; 4th Latin American S Gaston H. Gonnet,Alfredo Viola Conference proceedings 2000 Springer-Verlag Berlin

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Y. Kohayakawa,V. Rödlrecise than conventionally used volatility estimators, such as squared or absolute daily returns. The consistency of these estimators hinges on increasingly finer sampled high-frequency returns. In practice, however, the prices recorded at the very high frequency are contaminated by market microstru

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Vlady Ravelomanana,Loÿs Thimonierconomics. The simulation-based methods have proven to be particularly useful when the likelihood function and moments do not have tractable forms and hence the maximum likelihood (ML) method and the generalized method of moments (GMM) are difficult to use. They are also useful for improving the fini

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Klaus Jansen,Monaldo Mastrolilli,Roberto Solis-Obaxploiting CSS methods for policy.Applies CSS methods in vari.This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a

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Stephen Taylor potential to revolutionise policymaking. This growing field of research can help governments take advantage of large-scale data on human behaviour and provide policymakers with insights into where policy interventions are needed, which interventions are most likely to be effective, and how to avoid

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Michael A. Bender,Martín Farach-Coltoncontrary, (big) data eventually unveil the complexity of socio-economic relations, which has been too often disregarded in traditional approaches. Consequently, this paradigm shift requires to develop new theories and modelling techniques to handle new types of information. In this chapter, we first

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Myra B. Cohen,Charles J. Colbournditional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the ba