Generalized Berlin Method, time series analysis, differential-splines, generalized cross-validation. - The subject of this thesis is the multi-component Generalized Berlin Method (mehrkomponentiges Verallgemeinertes Berliner Verfahren, VBV), a method of time series analysis, with approximates a...

We propose a dynamic factor model for the analysis of multivariate time series count data. Our model allows for idiosyncratic as well as common serially correlated latent factors in order to account for potentially complex dynamic interdependence between series of counts. The model is estimated...

We analyze multivariate binary time series using a mixed parameterization in terms of the conditional expectations given the past and the pairwise canonical interactions among contemporaneous variables. This allows consistent inference on the influence of past variables even if the...