activity
20202024
most citedCirculant Singular Spectrum Analysis: A new automated procedure for signal extraction

60 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

econ.EM2024

Dealing with idiosyncratic cross-correlation when constructing confidence regions for PC factors

Diego Fresoli, Pilar Poncela, Esther Ruiz

In this paper, we propose a computationally simple estimator of the asymptotic covariance matrix of the Principal Components (PC) factors valid in the presence of cross-correlated…

econ.EM2022★ 2 cited

Economic activity and climate change

Aránzazu de Juan, Pilar Poncela, Vladimir Rodríguez-Caballero +1

In this paper, we survey recent econometric contributions to measure the relationship between economic activity and climate change. Due to the critical relevance of these effects f…

stat.CO2021

cissa(): A MATLAB Function for Signal Extraction

Juan Bógalo, Pilar Poncela, Eva Senra

cissa() is a MATLAB function for signal extraction by Circulant Singular Spectrum Analysis, a procedure proposed in Bogalo et al (2021). cissa() extracts the underlying signals in…

eess.SP2020

Understanding fluctuations through Multivariate Circulant Singular Spectrum Analysis

Juan Bógalo, Pilar Poncela, Eva Senra

We introduce Multivariate Circulant Singular Spectrum Analysis (M-CiSSA) to provide a comprehensive framework to analyze fluctuations, extracting the underlying components of a set…

eess.SP2020★ 60 cited

Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction

Juan Bógalo, Pilar Poncela, Eva Senra

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 sign…