'Maximum log likelihood' diaporamas de présentation

Week 3

803 views • 63 slides

Logistic Regression

Logistic Regression. Logistic Regression. When ? Just like multiple regression, but when the dependent variable is dichotomous. E.g. improved or not improved; successful or not successful. Why ? Logistic regression can be used for classification purpose (it includes c 2).

289 views • 28 slides

Parameter Estimation

Parameter Estimation. Covered only ML estimator. Given an i.i.d data set X, sampled from a distribution with parameters q , we would like to determine these parameters, given the samples. Once we have those, we can estimate p(x) for any given x, given the known distribution.

185 views • 17 slides