Hello everyone,

Could anyone please explain the criterion for selecting LDA(Linear Discriminant Analysis) over Logistic Regression in certain kind of problems? While logistic regression maximises likelihood, discriminant analysis uses Bayes theorem to find the probabilities, and ultimately the discriminant function. But what I cannot understand here is how to identify which model would be more effective in which case?

Thanks in advance!