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Understanding the Pseudo-Truth as an Optimal Approximation

Understanding the Pseudo-Truth as an Optimal Approximation

Introduction One of the things that set statistics apart from the rest of applied mathematics is an interest in the problems introduced by sampling: how can we learn about a model if we’re given only a finite and potentially noisy sample of data? Although frequently important, the issues introduced by sampling can be a distraction […]