13 citations · 51 across the 17 of their papers we have counts for
5 papers · 1 filter
Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
Asmaa Ahmad, Eric J Rose, Michael Roy +1
Missing data is a pervasive issue in statistical analyses, affecting the reliability and validity of research across diverse scientific disciplines. Failure to adequately address m…
A Kolmogorov-Zurbenko Fourier Transform Band-pass Filter Extension for Time Series Analysis
Edward Valachovic
This research introduces a novel extension, called the Extended Kolmogorov-Zurbenko Fourier Transform (EKZFT), to an existing class of band-pass filters first introduced by Kolmogo…
The Variable Multiple Bandpass Periodic Block Bootstrap for Time Series with Multiple Periodic Correlations
Edward Valachovic
This work introduces a novel block bootstrap method for time series with multiple periodically correlated (MPC) components called the Variable Multiple Bandpass Periodic Block Boot…
An Extension of the Iterated Moving Average
Edward Valachovic
This work introduces an extension of the iterated moving average filter, called the Extended Kolmogorov-Zurbenko (EKZ) filter for time series and spatio-temporal analysis. The iter…
Periodically Correlated Time Series and the Variable Bandpass Periodic Block Bootstrap
Edward Valachovic
This research introduces a novel approach to resampling periodically correlated (PC) time series using bandpass filters for frequency separation called the Variable Bandpass Period…