printer friendly pageSTATS 200: Introduction to Statistical Inference
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 116. Please note that students must enroll in one section in addition to the main lecture.
Terms: Aut, Win
| Units: 4
Instructors:
Johnstone, I. (PI)
;
Romano, J. (PI)
;
Bhattacharya, S. (TA)
...
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Instructors:
Johnstone, I. (PI)
;
Romano, J. (PI)
;
Bhattacharya, S. (TA)
;
Dey, A. (TA)
;
Ghosh, S. (TA)
;
Gibbs, I. (TA)
;
Han, K. (TA)
;
Li, H. (TA)
;
Li, S. (TA)
;
Pavlyshyn, D. (TA)
;
Spector, A. (TA)
;
Tirlea, M. (TA)
;
Xu, H. (TA)
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