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20212026
most citedNonparametric Test for Volatility in Clustered Multiple Time Series

2 citations · 2 across the 5 of their papers we have counts for

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5 papers

stat.ME2026

Mixed Frequency Stochastic Frontier Model: with application to the linkage of weather extremes and firm efficiency

Erniel B. Barrios, Nur Syazwani Mazlan, Lim Foo Weng +3

A strategy for incorporating higher-frequency determinants of inefficiency into the stochastic frontier models with production function indicators compiled at lower frequencies is…

stat.ME2023

Measuring Information Transfer Between Nodes in a Brain Network through Spectral Transfer Entropy

Paolo Victor Redondo, Raphael Huser, Hernando Ombao

Brain connectivity characterizes interactions between different regions of a brain network during resting-state or performance of a cognitive task. In studying brain signals such a…

stat.AP2022

Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals

Paolo Victor Redondo, Raphael Huser, Hernando Ombao

To study the neurophysiological basis of attention deficit hyperactivity disorder (ADHD), clinicians use electroencephalography (EEG) which record neuronal electrical activity on t…

stat.ME2021

Estimation of Poisson Autoregressive Model for Multiple Time Series

Paolo Victor T. Redondo, Joseph Ryan G. Lansangan, Erniel B. Barrios

A Poisson autoregressive (PAR) model accounting for discreteness and autocorrelation of count time series data is typically estimated in the state-space modelling framework through…

q-fin.ST2021★ 2 cited

Nonparametric Test for Volatility in Clustered Multiple Time Series

Erniel B. Barrios, Paolo Victor T. Redondo

Contagion arising from clustering of multiple time series like those in the stock market indicators can further complicate the nature of volatility, rendering a parametric test (re…