Almost sure hypothesis testing
ID: 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.
New to topics? Read the docs here!