The choices of weights in the iterative convex minorant algorithm

In statistics one often encounters the problem of estimating a function based on a given dataset. Sometimes shape properties such as monotonicity of the function are known. This property can be used in a non-parametric regression model. The iterative convex minorant(ICM) algorithm can be used to compute an estimate of a convex regression...

Forecasting Extreme Precipitation Using k-nearest Forest Neighbors

Precipitation has high spatial and temporal uncertainty, which makes it challenging to predict. We focus specifically on extreme amounts of precipitation. The Royal Dutch Meteorological Institute (KNMI) uses a numerical model, approximating the solutions to partial differential equations, to forecast precipitation and other metrics about the...