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Faculty Seminar Series

Partial least squares regression, which has been around for about four decades, is a dimension-reduction algorithm for fitting linear regression models without requiring that the sample size be larger than the number of predictors. It was developed primarily by the Chemometrics community where it is now ingrained as a core method, and it is apparently used throughout the applied sciences.
Three cross country skiers stand in a snowless woods dressed in race bibs

On Purpose: Portrait of Statistics

Statisticians, the original data scientists, stand ready to interpret the information of the digital age. In less than three years we will be producing over 1.7 megabytes of new information every single second for every human being on the planet. This new information, along with the vast amount of information that has already been collected, ranges from the mundane to the extraordinary.

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