👉 Non-expiation is a type of non-biased or unbiased sampling method. It refers to an algorithm that samples from an infinite population without considering any prior knowledge about the distribution of the population. This means that it does not consider the previous samples, but rather uses the current sample as the starting point for new sampling. Non-expiation is often used in machine learning and statistics when dealing with unbalanced datasets or when data is incomplete. It is also useful in situations where there are outliers
