Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Multitaper magnitude-squared coherence for time series with missing data: Understanding oscillatory processes traced by multiple observables
View through CrossRef
• Haley (2021) extended the multitaper method for estimating magnitude-squared coherence (MSC) to accommodate time series with missing data • We demonstrate missing-data multitaper MSC by showing that solar Lyman α flux and Dst index jointly trace known solar midterm oscillations • We suggest that multitaper should be the preferred frequency domain method for heliospheric applications due to its superior performance
Title: Multitaper magnitude-squared coherence for time series with missing data: Understanding oscillatory processes traced by multiple observables
Description:
• Haley (2021) extended the multitaper method for estimating magnitude-squared coherence (MSC) to accommodate time series with missing data • We demonstrate missing-data multitaper MSC by showing that solar Lyman α flux and Dst index jointly trace known solar midterm oscillations • We suggest that multitaper should be the preferred frequency domain method for heliospheric applications due to its superior performance.
Related Results
Multitaper Estimates of Phase-Amplitude Coupling
Multitaper Estimates of Phase-Amplitude Coupling
Abstract
Phase-amplitude coupling (PAC) is the association of the amplitude of a high-frequency oscillation with the phase of a low-frequency oscillation. In neuros...
Improving the Lomb–Scargle Periodogram with the Thomson Multitaper
Improving the Lomb–Scargle Periodogram with the Thomson Multitaper
Abstract
A common approach for characterizing the properties of time-series data that are evenly sampled in time is to estimate the power spectrum of the data usi...
Oscillatory Adsorption as the Determinant of the Fluctuating Behaviour of Different Heterogeneous Systems
Oscillatory Adsorption as the Determinant of the Fluctuating Behaviour of Different Heterogeneous Systems
Heterogeneous, catalytic oscillatory reactions as well as the oscillatory process of complex formation based on solid urea have been analysed in an attempt to ascertain the cause o...
Advanced methods for missing values imputation based on similarity learning
Advanced methods for missing values imputation based on similarity learning
The real-world data analysis and processing using data mining techniques often are facing observations that contain missing values. The main challenge of mining datasets is the exi...
WACANA PENANDA KEKOHESIAN DAN KEKOHERENSIAN DALAM BERITA COVID-19 DI LIPUTAN6.COM
WACANA PENANDA KEKOHESIAN DAN KEKOHERENSIAN DALAM BERITA COVID-19 DI LIPUTAN6.COM
This study analyzes cohesion and coherence in covid-19 news in the June 2020 liputan6.com edition. The purpose of this study is to describe the markers of cohesion and coherence of...
Long-range superharmonic Josephson current and spin-triplet pairing correlations in a junction with ferromagnetic bilayers
Long-range superharmonic Josephson current and spin-triplet pairing correlations in a junction with ferromagnetic bilayers
AbstractThe long-range spin-triplet supercurrent transport is an interesting phenomenon in the superconductor/ferromagnet ("Equation missing") heterostructure containing noncolline...
Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis
Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis
Abstract
Background
The COVID-19 pandemic has revealed significant challenges in disease forecasting and in developing a public health response, ...
Comparison of Methods for Imputing Social Network Data
Comparison of Methods for Imputing Social Network Data
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network im...