Abstract
Statistical inference, or “learning” as it is called in computer science, is the process of using data to infer the distribution that generated the data. A typical statistical inference question is:
Given a sample X 1,…, X n~F, how do we infer F?
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Wasserman, L. (2004). Models, Statistical Inference and Learning. In: All of Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21736-9_6
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DOI: https://doi.org/10.1007/978-0-387-21736-9_6
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