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, Sum
| Units: 4
Instructors:
Johnstone, I. (PI)
;
Palacios, J. (PI)
;
Cherian, J. (TA)
...
more instructors for STATS 200 »
Instructors:
Johnstone, I. (PI)
;
Palacios, J. (PI)
;
Cherian, J. (TA)
;
Jang, J. (TA)
;
Jeong, Y. (TA)
;
Kanekar, R. (TA)
;
Lee, J. (TA)
;
Lu, S. (TA)
;
Ma, G. (TA)
;
Salerno, M. (TA)
;
Shang, J. (TA)
;
Tanoh, I. (TA)
;
Xie, R. (TA)
;
Zhang, I. (TA)
Filter Results: