## Results for STATS200 Introduction to Statistical Inference |
1 courses |

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. Please note that students must enroll in one section in addition to the main lecture.

Terms: Aut, Win
| Units: 3-4

Instructors: ; Johnstone, I. (PI); Walther, G. (PI); Cowan, N. (TA); Fry, K. (TA); Ghosh, A. (TA); Ma, G. (TA); Spector, A. (TA); Zhao, S. (TA)