Likelihood Function Quiz

• The joint probability of observed data viewed as a function of the parameters of a statistical model (correct)
• The posterior probability in Bayesian statistics
• The probability density of observed data
• The arg max over the parameter in maximum likelihood estimation

• The Fisher information
• Arg max of the likelihood function (correct)
• The posterior probability
• The Hessian matrix of the likelihood function

• The estimate's precision (correct)
• The estimate's consistency
• The estimate's bias
• The estimate's accuracy

<p>From the posterior probability (C)</p> Signup and view all the answers

<p>By a (possibly multivariate) parameter $\theta$ (B)</p> Signup and view all the answers