The research objective of the present study is the development of a model for increased accuracy of steel-price forecasts, which is of paramount importance for firms who use steel as an input and thus need to make informed decisions with regard to an optimal amount and type of hedge against...

Optimal response modeling is studied using logistic regression, random forests, and I* algorithm of building tuned regressions. Transforming categorical variables into either WOE (weight of evidence) or probability of response coupled with equal frequency binning of size 10 results in improved...

The repeated median line estimator is a highly robust method for fitting a regression line to a set of n data points in the plane. In this paper, we consider the problem of updating the estimate after a point is removed from or added to the data set. This problem occurs e.g. in statistical...