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Estimators and the Delta Method
A pedagogical introduction to estimators and the Delta Method, focusing on intuition, derivation via Taylor series, practical examples, and connections to test-set variance and modern statistical practice.
(Un)biased Point Estimation
This article explores how to estimate the maximum parameter $(\theta)$ of a uniform distribution from sample data, deriving the Maximum Likelihood Estimator (MLE), identifying its bias, and constructing an unbiased estimator by adjusting the MLE
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