In: Statistics and Probability
In the following statements f(theta; x) is the likelihood function. Select which of the following are true statements about maximum likelihood estimates (MLE's).
Hint: In general, maximizing a function f(x) is equivalent to minimizing -f(x).
Group of answer choices
MLE's are unbiased.
MLE's minimize the negative log likelihood function, -log(f(theta; x))
MLE's are always easy to find.
MLE's maximize the likelihood function f(theta; x).
MLE's are not affected by outliers in the data.