February 04, 2011

Regression: Predicting and Relating Quantitative Features (Advanced Data Analysis from an Elementary Point of View, Lecture 1)

Statistics is the science which studies methods for learning from imperfect data. Regression is a statistical model of functional relationships between variables. Getting relationships right means being able to predict well. The least-squares optimal prediction is the expectation value; the conditional expectation function is the regression function. The regression function must be estimated from data; the bias-variance trade-off controls this estimation. Ordinary least squares revisited as a smoothing method. Other linear smoothers: nearest-neighbor averaging, kernel-weighted averaging.


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Advanced Data Analysis from an Elementary Point of View

Posted at February 04, 2011 01:30 | permanent link

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