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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.

Statistics. --- Mathematical statistics --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Data processing --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Business. --- Management science. --- Biostatistics. --- Mathematics. --- Social sciences. --- Statistical Theory and Methods. --- Mathematics in the Humanities and Social Sciences. --- Business and Management, general. --- Econometrics --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods. --- Trade --- Economics --- Management --- Commerce --- Industrial management --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Math --- Science

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Linear models (Statistics) --- Regression analysis. --- R (Computer program language). --- R (Computer program language)