Statistical Inference II
BST 241
Subject & Catalog Number
Jointly Offered with:
Faculty of Arts & Sciences as BIOSTAT 241
Course Information
Description
Sequel to BST 231. Considers several advanced topics in statistical inference. Topics include limit theorems, multivariate delta method, properties of maximum likelihood estimators, saddlepoint approximations, asymptotic relative efficiency, robust and rank-based procedures, resampling methods, and nonparametric curve estimation.
Course Note: lab or section times to be announced at first meeting; cross-listed: Harvard Chan Students must register for the Harvard Chan course.
School
Harvard Chan School
Credits
5
Cross Reg
Available for Harvard Cross Registration
Subject
Biostatistics
Grading Basis
HSPH Student Option (Audit, Ordinal, Pass/Fail)
Course Requirements
Prerequisites: BST231 and BST240 (previously BIO 250) or permission of instructor
