This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...
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Introduction: Why is the 'average' reliable? The world we live in is overflowing with data. News approval ratings, factory defect rates, stock price fluctuations, health check results... Statistics ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
THE LATEST NEWS: Python's most popular property-based testing tool, Hypothesis, now supports running CrossHair as an optional backend! If you have a function with type annotations and add a contract ...
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The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...