Logistic-Regression on The Standard Errorhttps://jongha-jeon-dev.github.io/standarderror/tags/logistic-regression/Recent content in Logistic-Regression on The Standard ErrorHugo -- 0.123.7en-gbThu, 08 Oct 2026 00:00:00 +0000ML 6: On Separable Data, Your Logistic Coefficients Are Your Stopping Rulehttps://jongha-jeon-dev.github.io/standarderror/lectures/ml-6-separable/Thu, 08 Oct 2026 00:00:00 +0000https://jongha-jeon-dev.github.io/standarderror/lectures/ml-6-separable/Logistic regression is taught as finding the maximum-likelihood coefficients. When a hyperplane separates the classes there is no maximum, and what comes back is decided by when the optimiser stopped.Linear Algebra 8: When There Is No Closed Formhttps://jongha-jeon-dev.github.io/standarderror/lectures/linear-algebra-8-no-closed-form/Tue, 01 Sep 2026 00:00:00 +0000https://jongha-jeon-dev.github.io/standarderror/lectures/linear-algebra-8-no-closed-form/A logistic regression where one coefficient's value is the iteration limit, its standard error is a constant the library author chose, and its p-value crosses 0.05 on the way down — while every other coefficient in the table is correct to three decimal places.