Packet 1: Bonus 15

Joseph Berkson popularized the “logistic” type of this technique used to solve binary classification tasks. For 10 points each:
[10e] Name this statistical technique whose “linear” type attempts to find a line of best fit.
ANSWER: regression [accept linear regression]
[10m] Most linear regression algorithms typically seek to minimize the sum of the values of this function on the residuals.
ANSWER: square [accept ordinary least squares]
[10h] This man and Gauss name a theorem stating that OLS regression has minimum variance among unbiased estimators. The Metropolis-Hastings algorithm uses a structure named for this mathematician in Monte Carlo simulations.
ANSWER: Andrey Andreyevich Markov [accept Gauss–Markov theorem; accept Markov chain Monte Carlo]
<Science - Math, Vikram Narasimhan> | VAULT II Packet 01

HeardPPBE %M %H %
4417.9591%50%39%

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