surveillance of an “outbreak” situation is derived. The method is semiparametric in the sense that the regression model is …, the method is applied to Swedish influenza data for six years. The advantage of this semiparametric surveillance method …

The aim of sequential surveillance is on-line detection of an important change in an underlying process as soon as … possible after the change has occurred. Statistical methods suitable for surveillance differ from hypothesis testing methods … surveillance in industry, economics, medicine and for environmental purposes is described. Even though the methods have been …

influenza data was analyzed with the main aim of finding patterns that could be useful for statistical surveillance of the …

We examine how to forecast after a recent break. We consider monitoring for change and then combining forecasts from …

Detection of structural change is a critical empirical activity, but continuous 'monitoring' of time series for …

An overview on surveillance in different areas is given. Even though methods have been developed under different … can be used also in other areas. The aim of surveillance is to detect an important change in an underlying process as soon …

The relation between change points in multivariate surveillance is important but seldom considered. The sufficiency … evaluation metrics. We study processes where the changes occur simultaneously or with known time lags. The surveillance of …

those suffering from Alzheimer’s or memory loss, and the monitoring of parolees for law enforcement, security or personal …