Physvillain

In this post, I'm planning to cover the basic statistics required for ML, which is maximum likelihood estimator(MLE) & maximum a posteriori(MAP) estimator. The latter one is based on the Bayesian approach. [Definition 1] If $X_1, \cdots, X_n$ are independent and identically distributed(call it i.i.d. for convenience) random variables with the pdf or pmf $f(x\vert\theta)$, then the function of $\..