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Statistics - Statistical Theory and Methods | Complex Models and Computational Methods in Statistics

Complex Models and Computational Methods in Statistics

Grigoletto, Matteo, Lisi, Francesco, Petrone, Sonia (Eds.)

2013, VIII, 227 p. 49 illus.

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  • The volume offers an updated overview of statistical methods for high-dimensional problems
  • It includes a wide range of statistical applications
  • It is addressed to the statistician working at the forefront of statistical analysis

The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented.

As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems.

This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.

Content Level » Research

Keywords » Bayesian inference - complex problems - computational methods - high-dimensional data - likelihood-based inference

Related subjects » Economics - Statistical Theory and Methods

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