Complex Models and Computational Methods in Statistics

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.

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

“Complex Models and Computational Methods in Statistics has a good collection of research papers on useful and interesting topics about complex and high-dimensional data. Researchers and professionals looking to learn more in this field of study could benefit from papers published in this volume. The content in most of these selected papers proved to be an enjoyable read.” (Technometrics, Vol. 56 (3), August, 2014)

• , Statistical Sciences, University of Padua, Padua, Italy, Padova, Italy

  Matteo Grigoletto, Francesco Lisi

• , Dept of Decision Sciences, Bocconi University, Milano, Italy

  Sonia Petrone

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