We define the nagging predictor, which, instead of using bootstrapping to produce a series of i.i.d. predictors, exploits the randomness of neural network calibrations to provide a more stable and accurate predictor than is available from a single neural network run. Convergence results for the...

We define the nagging predictor, which, instead of using bootstrapping to produce a series of i.i.d. predictors, exploits the randomness of neural network calibrations to provide a more stable and accurate predictor than is available from a single neural network run. Convergence results for the...

The purpose of this paper is to validate the theoretical background of the specialized economic literature on financial performance of companies as a function of different capital structure determinants on the Romanian market. As such, the capital structure considered indicators are the short...

В работе предложена продуктивная методика адекватного регрессионного моделирования для систем управления эффективностью труда на основе анализа используемых...

Using a research design that traces siblings' preferences for postmaterialistic values in Germany over two decades, this paper provides new evidence on the origins of value preferences. Focusing on Inglehart's thesis of value change, we test the combined socialization and scarcity hypothesis...