printer friendly pageSTATS 200: Introduction to Theoretical Statistics
Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite:
STATS 118. See
https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
Terms: Aut, Win, Sum
| Units: 4
Instructors:
Johnstone, I. (PI)
;
Walther, G. (PI)
;
Cowan, N. (TA)
...
more instructors for STATS 200 »
Instructors:
Johnstone, I. (PI)
;
Walther, G. (PI)
;
Cowan, N. (TA)
;
Feldmeier, R. (TA)
;
Fry, K. (TA)
;
Ghosh, A. (TA)
;
Lopotenco, A. (TA)
;
Lu, S. (TA)
;
Ma, G. (TA)
;
Park, B. (TA)
;
Spector, A. (TA)
;
Tanoh, I. (TA)
;
Xie, R. (TA)
;
Zhao, S. (TA)
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