Nonparametric Inference

4.0 credits

This course offers an introduction to nonparametric statistical methodology, modeling techniques and theory. Topics include, but are not limited to, nonparametric hypothesis testing and inference, density estimation, adaptive smoothing, and resampling estimation procedures. R/RStudio will be used for computational examples, so previous experience with such software is recommended.