Introduction to strong mixing conditions

Introduction to strong mixing conditions

by Richard C. Bradley

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"For many phenomena in the real world, the observations are not independent but instead have the following property: The observations in the "past" and "present" may have considerable influence on the observations in the "near future," but rather weak influence on the observations in the "far future." For the statistical analysis of the observations from such phenomena, it is natural to use as models random sequences that satisfy certain "strong mixing conditions""--Preface.

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