### Reading Questions for Lecture 6

Parametric Methods (Ch. 4.1-4.5)

- Why do we compute the log likelihood of the data instead of just computing the likelihood?
- What is the "parameter" required to specify a Bernoulli distribution?
- If I flip a coin and get { heads, tails, tails, heads, tails }, what is the maximum likelihood estimate of the probability of getting heads?
- What two parameters are needed to specify a Gaussian distribution?
- The Bayes Estimator is a weighted average of what two values?