Hypothesis Testing

In statistical hypothesis testing, two-sample tests are conducted on random samples drawn independently from two different populations to determine whether the difference between these populations is statistically significant. This method has important application value in the field of machine learning, effectively addressing issues such as domain adaptation, covariate shift, and generative adversarial networks.