This study is an exploration of where we can expect added value for forecasting and nowcasting time series in official statistics by using deep learning techniques, as an alternative to classic time ...

It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

A new procedure introduced by Masanao Aoki uses the ideas of linear systems theory to identify and estimate time-series models. A slightly modified version of this procedure is used to forecast ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 65, No. 1 (JANUARY 2016), pp. 29-50 (22 pages) The paper proposes stochastic models for the analysis of ocean surface ...

In this paper, a few methods for anomaly detection in computer networks with the use of time series methods are proposed. The special interest was put on Brown’s exponential smoothing, seasonal ...

This post originally appeared at American Express OpenForum. Whether it's Gap officials determining how many sweaters to stock on their shelves or a local diner making waitstaff decisions, businesses ...

For technical reasons, the English full text will be published approximately two weeks after the German print edition has been published. Institut für Medizinische Statistik, Universitätsmedizin ...