1. There is no conjugate prior of the likelihood function in logistic regression . 2. Unlike logistic regression , discriminant analysis can be used with small sample sizes. 3. Logistic regression is an alternative to Fisher's 1936 method, linear discriminant analysis.4. Probit models offer an alternative to logistic regression for modeling categorical dependent variables. 5. In regression models, of which linear regression and logistic regression are two examples. 6. Logistic regression does not have as many assumptions and restrictions as discriminant analysis.7. Commonly employed statistical techniques for such models include logistic regression and neural networks. 8. Logistic regression and probit models are used when the dependent variable is binary.9. Logistic regression and other log-linear models are also commonly used in machine learning.10. That is a modification of a classic " homework exercise " on logistic regression .
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