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