We show how cubic smoothing splines fitted to univariate time series data can be used to obtain local linear forecasts. Our approach is based on a stochastic state space model which allows the use of a likelihood approach for estimating the smoothing parameter, and which enables easy...

Combination techniques and decomposition procedures have been applied to time series forecasting to enhance prediction accuracy and to facilitate the analysis of data respectively. However, the restrictive complexity of some combination techniques and the difficulties associated with the...

This paper analyses the use of TRAMO-SEATS to seasonally adjust Italian industrial production index. The problem of preliminary transformation of the series is illustrated, together with the way to deal with this issue with TRAMOSEATS. The subject of the revisions and, in general, of the use of...

The aim of this paper seeks to analyse how the energy price's cojuntural behaviour and structural conditions affect the short-run and mid-run overview of the energy integration process in South America (SA). For these porpoise we - first describe the world-wide energy agenda and the effect of...

The aim of this paper seeks to analyse how the energy price’s cojuntural behaviour and structural conditions affect the short-run and mid-run overview of the energy integration process in South America (SA). <p> For these porpoise we - first describe the world-wide energy agenda and the effect of...</p>