Intro to Probability and Statistics, Lec 6/10: Parameter Estimation (Maximum Likelihood Estimation)

#mathematics #probability #statistics In this video, we discuss the basics of parameter estimation in statistical inference. In particular, we discuss the maximum likelihood estimation (MLE) approach, which is based on computing the likelihood function. We look at several examples, including the Binomial distribution, exponential distribution, and normal distribution. We also discuss unbiased estimators.