Statistical Modeling and Analysis for Complex Data Problems
treats some of today's more complex problems and it reflects some
of the important research directions in the field. Twenty-nine
authors - largely from Montreal's GERAD Multi-University Research
Center and who work in areas of theoretical statistics, applied
statistics, probability theory, and stochastic processes - present
survey chapters on various theoretical and applied problems of
importance and interest to researchers and students across a number
of academic domains.
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