Forecasting and forecast evaluation are inherently sequential tasks.
Pre...
We study the non-parametric isotonic regression problem for bivariate
el...
Probability forecasts for binary events play a central role in many
appl...
Parameter estimation via M- and Z-estimation is broadly considered to be...
A Distributional (Single) Index Model (DIM) is a semi-parametric model f...
Isotonic distributional regression (IDR) is a powerful nonparametric
tec...
In general, the solution to a regression problem is the minimizer of a g...
The predictive performance of point forecasts for a statistical function...
This note corrects conditions in Proposition 3.4 and Theorem 5.2(ii) and...
We present methods for estimating the multivariate probability density (...
Recent studies have analyzed whether one forecast method dominates anoth...
Strictly proper kernel scores are well-known tool in probabilistic
forec...
The relative performance of competing point forecasts is usually measure...