Robust logistic regression

Statistical Modeling, Causal Inference, and Social Science 2013-06-07

Summary:

Corey Yanofsky writes: In your work, you’ve robustificated logistic regression by having the logit function saturate at, e.g., 0.01 and 0.99, instead of 0 and 1. Do you have any thoughts on a sensible setting for the saturation values? My intuition suggests that it has something to do with proportion of outliers expected in the [...]

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Link:

http://andrewgelman.com/2013/06/07/robust-logistic-regression/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

r statistical computing bayesian statistics stan

Authors:

Andrew

Date tagged:

06/07/2013, 20:01

Date published:

06/07/2013, 16:32