Statistics

Selecting hyperparameter values for a neural network can greatly improve performance. With many potential combinations of hyperparameter values, however, it can quickly become intractable to test combinations manually. R’s tfruns package helps implement this search and identify the best values.

I develop a framework to flexibly incorporate both time-varying and static variables into a river temperature model with over 4 million observations.

Gentle introduction to using quantile regression to understand changes in distributions and extreme events using R and environmental datasets.