STAT132: Classical and Bayesian Inference

Introduction to statistical inference at a calculus-based level: maximum likelihood estimation, sufficient statistics, distributions of estimators, confidence intervals, hypothesis testing, and Bayesian inference. (Formerly Statistical Inference.)

5 credits

Year	Fall	Winter	Spring	Summer
2023-24		Section 01 Robert Lund (rolund)	Section 01 Bruno Sansó (bsanso)
2022-23		Section 01 Sheng Jiang (sjiang45)	Section 01 Sheng Jiang (sjiang45)
2021-22		Section 01 Thanasis Kottas (thanos) Jizhou Kang (jkang37)	Section 01 David Draper (draper)
2020-21		Section 01 Thanasis Kottas (thanos) Peter Randolph Trubey (ptrubey)	Section 01 Claudia Wehrhahn (cwehrhah)

Comments

Formerly AMS 0132

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