EconometricsLesson 2 of 2 in the course Time series
Autocorrelation: Properties, Estimation, and Time-Series Applications
5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English
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Summary
Autocorrelation measures how similar observations of a signal or random process are to other observations of itself at a time shift, or lag. It is useful for detecting persistence, repeating patterns, and periodic behavior in data.
For a process , autocorrelation compares values at different times, such as and . It is a correlation of a variable with a shifted copy of itself. In discrete time, the lag is usually an integer; in continuous time, it may be any real number.
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Based on the Wikipedia article Autocorrelation, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.
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