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