Непараметрическое прогнозирование загруженности системы железнодорожных узлов по историческим данным
The authors propose a method of non-parametric forecasting of railroad stations occupancy according to historical data. The algorithm is based on convolution of empirical density of distribution of time series values and loss function. The features of autoregressive prognostic model are investigated. The algorithm is illustrated by railroad stations occupancy data in Omsk region in 2007 and 2008.