Link the probability sequence together - #819
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fitting_distributions (#814) was reachable only from the table of contents and from heavy_tails. Neither of the two lectures it builds on mentioned it, so a reader working through the sequence in order had no pointer forward. - prob_dist now introduces itself as the first of three and names both of the others, replacing a sentence that named only observed_distributions. - observed_distributions points forward in its outline, and again at the place where it fits a normal to the Amazon returns by matching moments -- which is the method of moments, unnamed there, and the subject of the next lecture. - mle gains its first cross-reference to another lecture. Its two steps for maximum likelihood, guess the distribution and estimate the parameters, are the two questions fitting_distributions is organized around, so it now says so. That closes a loop: fitting_distributions already sent readers to mle twice, once for a fuller treatment of parameter estimation and once for the Student t fit that the method of moments handles poorly. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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This was referenced Aug 3, 2026
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fitting_distributions(#814) was reachable only from the table of contents and fromheavy_tails. Neither of the two lectures it builds on mentioned it, so a reader working through the sequence in order had no pointer forward.Before / after
prob_distobserved_distributionsmleThe three edits
prob_distnow introduces itself as the first of three and names both of the others, replacing a sentence that named onlyobserved_distributions.observed_distributionspoints forward in its outline, and again at the place where it fits a normal to the Amazon returns by matching sample moments to population moments. That is the method of moments — unnamed there, and the subject of the next lecture — so the pointer sits exactly where the reader meets the idea for the first time.mlegains its first cross-reference to any other lecture. Its two steps for maximum likelihood — guess the distribution, then estimate the parameters — are precisely the two questionsfitting_distributionsis organized around, so it now says so. This closes a loop:fitting_distributionsalready sends readers tomletwice, once for a fuller treatment of parameter estimation and once for the Student t fit that the method of moments handles poorly.Prose only; both executable lectures still run end to end.
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