13 citations · 51 across the 17 of their papers we have counts for
19 papers
The Periodically Correlated Components of Measles in New York City using the Variable Band-pass Periodic Block Bootstrap
Anastazia Valachovic, Susan P. Opar, Edward Valachovic
Measles, a highly contagious, deadly virus, is at risk of losing its eradication status in the Unites States. Understanding the pattern, including seasonality, of measles could pro…
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…
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…
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…
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…
Predicting Coastal Water Levels in the Context of Climate Change Using Kolmogorov-Zurbenko Time Series Analysis Methods
Barry Loneck, Igor Zurbenko, Edward Valachovic
Given recent increases in ocean water levels brought on by climate change, this investigation decomposed changes in coastal water levels into its fundamental components to predict…
Theoretical and Practical Limits of Signal Strength Estimate Precision for Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing
Barry Loneck, Igor Zurbenko, Edward Valachovic
This investigation establishes the theoretical and practical limits of signal strength estimate precision for Kolmogorov-Zurbenko periodograms with dynamic smoothing and compares t…
Seasonal and Periodic Patterns of PM2.5 in Manhattan using the Variable Bandpass Periodic Block Bootstrap
Yanan Sun, Edward Valachovic
Air quality is a critical component of environmental health. Monitoring and analysis of particulate matter with a diameter of 2.5 micrometers or smaller (PM2.5) plays a pivotal rol…
Non-Parametric Estimation of Multiple Periodic Components in Turkey's Electricity Consumption
Jie Yao, Edward Valachovic
Electric generation and consumption are an essential component of contemporary living, influencing diverse facets of our daily routines, convenience, and economic progress. There i…
Periodicity in New York State COVID-19 Hospitalizations Leveraged from the Variable Bandpass Periodic Block Bootstrap
Asmaa Ahmad, Edward Valachovic
The outbreak of the SARS-CoV-2 virus, which led to an unprecedented global pandemic, has underscored the critical importance of understanding seasonal patterns. This knowledge is f…
Seasonal and Periodic Patterns in US COVID-19 Mortality using the Variable Bandpass Periodic Block Bootstrap
Edward Valachovic, Ekaterina Shishova
Since the emergence of the SARS-CoV-2 virus, research into the existence, extent, and pattern of seasonality has been of the highest importance for public health preparation. This…
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…
The Dark Universe is not invisible
K. Zioutas, V. Anastassopoulos, A. Argiriou +18
Dark matter (DM) comes from long-range gravitational observations, and it is considered as something that does not interact with ordinary matter or emits light. However, also on mu…
Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing in Estimating Signal Frequencies
Barry Loneck, Igor Zurbenko, Edward Valachovic
This investigation establishes the theoretical and practical limits of Kolmogorov-Zurbenko periodograms with dynamic smoothing in their estimation of signal frequencies in terms of…
Comment On the Connection Between Planets, Dark Matter and Cancer, by Hector Socas-Navarro (arXiv:1812.02482 [physics.med-ph])
Konstantin Zioutas, Edward Valachovic, Marios Maroudas
In arXiv:1812.02482 Socas-Navarro (SN) provided multiple confirmation of the claimed 88 days melanoma periodicity. This greatly strengthens the observation by Zioutas and Valachovi…
Planetary dependence of melanoma
Konstantin Zioutas, Edward Valachovic
We present signature for planetary correlations following an analysis of monthly melanoma rates in USA for the period 1973 - 2011. A planetary relationship in medicine is observed…