STATS 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:
Rothenhaeusler, D. (PI)
;
Walther, G. (PI)
;
Ghandwani, D. (TA)
...
more instructors for STATS 200 »
Instructors:
Rothenhaeusler, D. (PI)
;
Walther, G. (PI)
;
Ghandwani, D. (TA)
;
Gonzalez, X. (TA)
;
Han, K. (TA)
;
Hu, A. (TA)
;
Jang, J. (TA)
;
Jin, Y. (TA)
;
Kluger, D. (TA)
;
Li, H. (TA)
;
Salerno, M. (TA)
;
Spector, A. (TA)
;
Tanoh, I. (TA)
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