Wind speed forecasting is gaining importance as the share of wind energy in electricity
systems increases. Numerous forecasting approaches have been used to predict wind …

This paper presents a systematic review of research papers on nowcasting economic
activity. The study summarizes the state‐of‐the‐art nowcasting approaches and methods …

Sometimes, it is of interest to single out the fluctuations associated to a given frequency. We
propose a new variant of SSA, Circulant SSA (CiSSA), that allows to extract the signal …

The electrocardiogram (ECG) is a tool that is used to examine the heart's electrical activity.
The processing of ECG signals is thus critical for recognising anomalies or the start of …

It is widely known that Google Trends have become one of the most popular free tools used
by forecasters both in academics and in the private and public sectors. There are many …

The literature on mixed-frequency models is relatively recent and has found applications
across economics and finance. The standard application in economics considers the use of …

In this paper, an optimized multivariate singular spectrum analysis (MSSA) approach is
proposed to find leading indicators of cross‐industry relations between 24 monthly …

Many problems plague the estimation of Phillips curves. Among them is the hurdle that the
two key components, inflation expectations and the output gap, are both unobserved …

Singular spectrum analysis (SSA) is a non-parametric method that breaks down a time
series into a set of components that can be interpreted and grouped as trend, periodicity …

Cognitive load detection is eminent during the mental assignment of neural activity because
it indicates how the brain reacts to stimuli. The level of cognitive load experienced during …