Biostatistics 251 -- Statistical Inference II
Course Description: Advanced topics in statistical inference. Limit theorems, multivariate delta method, properties of maximum likelihood estimators, saddle point approximations, asymptotic relative efficiency, robust and rank-based procedures, resampling methods, nonparametric curve estimation.

This class is at the Graduate level
Instructor: Rebecca A. Betensky (Public Health)
Prerequisites: Biostatistics 231.

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