This volume presents recent methodological developments in Applied/Computational
Statistics. A wide range of topics is covered including Advances on Statistical
Computing Environments, Methods for Classification and Clustering, Computation
for Graphical Models and Bayes Nets, Computational Econometrics, Computational
Statistics and Data Mining, Statistics for Finance and Insurance, Information
Retrieval for Text and Images, Knowledge Extraction by Models, Model Selection
Algorithms, Models for Latent Class Detection, Multiple Testing Procedures,
Random Search Algorithms, Robust Statistics and Signal Extraction and Filtering.
Besides structural and theoretical results, the book presents a wide variety of
applications in fields such as time-series analysis, econometrics, finance and
insurance, biology, micro-array analysis, astronomy, text analysis and alcohol
studies. Combining