Maximum likelihood. Which model explains the clues?

Twelve recorded commute times start a modelling detective story. Compare Gaussian settings, multiply density heights, then take logs to find a clearer score.

Nine conversations connect maximum likelihood to the sample mean, least squares and cross-entropy. Explore a prior’s influence on a small-sample estimate and question the assumptions behind a fit.

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A candidate Gaussian curve above commute observations and a likelihood summit

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