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A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network
Tianbo Chen,
Ying Sun
*
, Ta Hsin Li
*
Corresponding author for this work
King Abdullah University of Science and Technology
Applied Mathematics and Computational Science
Statistics
Research output
:
Contribution to journal
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Article
›
peer-review
11
Scopus citations
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Dive into the research topics of 'A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network'. Together they form a unique fingerprint.
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Mathematics
Quantile
100%
Semiparametric Estimation
100%
Estimation Method
100%
Convolutional Neural Network
100%
Periodogram
25%
Partial Autocorrelation
18%
Autocorrelation Function
18%
Autocovariance
12%
Scale Parameter
12%
Trigonometric
6%
Autoregressive Coefficient
6%
Quantile Regression
6%
Spectral Density Function
6%
Approximates
6%
Parametric Form
6%
Serial Dependence
6%
Keyphrases
Earthquake Event Classification
100%
Quantile Periodogram
100%
Quantile Autocovariances
66%
Autoregressive Spectrum
66%
Inverse Fourier Transformation
33%
Serial Dependence
33%