Statistics 590D - Data Methods/Interference&Pred

This course discusses two modern statistical methods: bootstrap inference and conformal prediction. These data-driven methods quantify uncertainty of estimated parameters and predicted responses. Compared to traditional statistical methods, they make fewer assumptions on the data generation process and thus are applicable to a wider variety of settings. This class covers both concepts and mathematical theories, and you will apply these methods in real examples using R software.

STATISTC 310/535 & 490S/516