Statistical Modeling and Analysis for Complex Data Problems

Pierre Duchesne · Bruno Rémillard

Des 2005 · GERAD 25th anniversary series Buku 1 · Springer Science & Business Media

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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.