Almost sure hypothesis testing

Almost sure hypothesis testing is a concept in statistics and probability theory that deals with making decisions regarding statistical hypotheses based on observed data, particularly in scenarios where you have a sequence of random observations. It refers to frameworks or methods that guarantee that the probability of making an error in hypothesis testing approaches zero as the sample size increases.