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20182026
most citedTheoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing in Estimating Signal Frequencies

13 citations · 51 across the 17 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

stat.AP2025

Seasonal and periodic patterns of ischemic heart disease in New York using the Variable Multiple Bandpass Periodic Block Bootstrap

Yineng Chen, Edward Valachovic

Seasonal patterns of the incidence, hospital visits, and mortality of ischemic heart disease (IHD) have been widely reported. This study aims to investigate seasonal and periodic p…

stat.AP2025

A Structure-Preserving Assessment of VBPBB for Time Series Imputation Under Periodic Trends, Noise, and Missingness Mechanisms

Asmaa Ahmad, Eric J Rose, Michael Roy +1

Incomplete time-series data compromise statistical inference, particularly when the underlying process exhibits periodic structure (e.g., annual or monthly cycles). Conventional im…

stat.ME2025

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…

stat.ME2025

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…

stat.ME2025★ 3 cited

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…

stat.ME2025

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…

astro-ph.EP2025★ 1 cited

Novel Dark Matter Signatures

A. Argiriou, G. Cantatore, S. A. Cetin +16

Celestial observations often exhibit inexplicable planetary dependencies when the timing of an observable is projected onto planetary heliocentric positions. This is possible only…