Search · four archives
Search · four archives
14 papers · ranked by Valyu relevance
Edward L. Valachovic, Nattapol Aunsri
This research introduces a novel approach to resampling periodically correlated time series using bandpass filters for frequency separation called the Variable Bandpass Periodic Block Bootstrap and then examines the significant advantages of this new method. While bootstrapping allows estimation of a statistic’s…
Edward L. Valachovic, Ekaterina Shishova, Jacopo Sabbatinelli
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 study uses a novel bandpass bootstrap approach called the Variable Bandpass Periodic Block Bootstrap to investigate the periodically…
Yanan Sun, Éric Rose, Kai Zhang, Edward Valachovic
The Variable Bandpass Periodic Block Bootstrap (VBPBB) is an innovative method for time series with periodically correlated (PC) components. This method applies bandpass filters to extract specific PC components from datasets, effectively eliminating unwanted interference such as noise. It then bootstraps the PC…
Edward Valachovic
Block Bootstrap Authors: ['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 Periodic Block Bootstrap (VBPBB) and then examines the significant advantages of this new method.…
Yanan Sun, Edward L. Valachovic, Loredana Bellantuono
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 role in understanding air quality changes. This study focuses on the application of a new bandpass bootstrap approach, termed the Variable…
Asmaa Ahmad, Edward Valachovic
the Variable Bandpass Periodic Block Bootstrap Authors: ['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 fundamental for decision-making in healthcare and…
Yanan Sun, Edward Valachovic
Bandpass Periodic Block Bootstrap Authors: ['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 role in understanding air quality changes. This study focuses on…
Edward Valachovic
with Multiple Periodic Correlations Authors: ['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 Bootstrap (VMBPBB). While past methodological advancements permitted…
Megan Di Maio, Edward Valachovic, Niravkumar Joshi
In this study we assess periodicities in nitrogen dioxide levels at a location in Los Angeles using a novel Variable Bandpass Periodic Block Bootstrap (VBPBB) method resulting in confidence interval bands for the periodic mean. Nitrogen dioxide (NO2) is an air pollutant primarily produced by the combustion of fossil…
Edward L. Valachovic, Agbotiname Lucky Imoize
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 iterated application of a central simple moving average (SMA) filter, also known as a Kolmogorov-Zurbenko (KZ) filter, is a low-pass filter…
Eric Mayor, Lucas M. Bietti, Erick Jorge Canales-Rodríguez
Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potential of treating automatically coded text collected with regular…
Wancen Mu, Eric Davis, Stuart Lee, Mikhail Dozmorov + 2 more
bootRanges provides fast functions for generation of bootstrapped genomic ranges representing the null sets in enrichment analysis. We show that shuffling or permutation schemes may result in overly narrow test statistics null distributions, while creating new ranges sets with a block bootstrap preserves local genomic…
Fumikazu Miwakeichi, Andreas Galka, Hector Zenil, Jiang Zhang + 1 more
'Peng Cui'] In this study, we present a thorough comparison of the performance of four different bootstrap methods for assessing the significance of causal analysis in time series data. For this purpose, multivariate simulated data are generated by a linear feedback system. The methods investigated are uncorrelated…
Siqi Zhang, Maciej J Szul, Sotirios Papadopoulos, Alice Massera + 2 more
Analysis of neural activity in different frequency bands is ubiquitous in systems and cognitive neuroscience. Recent analytical breakthroughs and theoretical developments rely on phase maintenance of oscillatory signals without considering whether or not this assumption is met. Lagged (auto)coherence, the coherence…