COMPARISON BETWEEN TWO DIMENSIONALITY REDUCTION METHODS IN TIME SERIES COMPARACIÓN ENTRE DOS MÉTODOS DE REDUCCIÓN DE DIMENSIONALIDAD EN SERIES DE TIEMPO
Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s methodology were found, and their corrections are given. Also the two methods are co...
Ausführliche Beschreibung
Autor*in: |
Zhang Hanwen [verfasserIn] |
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Englisch |
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2009 |
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In: Revista Colombiana de Estadística - Universidad Nacional de Colombia, 2020, 32(2009), 2, Seite 189-212 |
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Übergeordnetes Werk: |
volume:32 ; year:2009 ; number:2 ; pages:189-212 |
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(DE-627)DOAJ041867327 (DE-599)DOAJ9e8723fb16b844e5ae2215e03e2692c9 DE-627 ger DE-627 rakwb eng HA1-4737 Zhang Hanwen verfasserin aut COMPARISON BETWEEN TWO DIMENSIONALITY REDUCTION METHODS IN TIME SERIES COMPARACIÓN ENTRE DOS MÉTODOS DE REDUCCIÓN DE DIMENSIONALIDAD EN SERIES DE TIEMPO 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s methodology were found, and their corrections are given. Also the two methods are compared regarding to their capacities to identify the number of latent factors by simulations and an empirical application.<br<En este trabajo se analizan dos métodos de reducción de dimensionalidad en series de tiempo multivariadas estacionarias: el método de Peña y Box, basado en el dominio del tiempo, y el método de Brillinger, basado en el dominio de las frecuencias. Se encontraron dos fallas en el método de Peña y Box, y se propusieron correcciones a estas. También se compararon los dos métodos con respecto a la capacidad para identificar el número de factores latentes mediante simulaciones y se realizó una aplicación empírica. Multivariate time series Reduction of dimensionality Time domain Frequency domain Statistics In Revista Colombiana de Estadística Universidad Nacional de Colombia, 2020 32(2009), 2, Seite 189-212 (DE-627)621551333 (DE-600)2543932-7 01201751 nnns volume:32 year:2009 number:2 pages:189-212 https://doaj.org/article/9e8723fb16b844e5ae2215e03e2692c9 kostenfrei http://www.revistas.unal.edu.co/index.php/estad/article/view/29762 kostenfrei https://doaj.org/toc/0120-1751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 32 2009 2 189-212 |
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COMPARISON BETWEEN TWO DIMENSIONALITY REDUCTION METHODS IN TIME SERIES COMPARACIÓN ENTRE DOS MÉTODOS DE REDUCCIÓN DE DIMENSIONALIDAD EN SERIES DE TIEMPO |
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COMPARISON BETWEEN TWO DIMENSIONALITY REDUCTION METHODS IN TIME SERIES COMPARACIÓN ENTRE DOS MÉTODOS DE REDUCCIÓN DE DIMENSIONALIDAD EN SERIES DE TIEMPO |
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COMPARISON BETWEEN TWO DIMENSIONALITY REDUCTION METHODS IN TIME SERIES COMPARACIÓN ENTRE DOS MÉTODOS DE REDUCCIÓN DE DIMENSIONALIDAD EN SERIES DE TIEMPO |
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Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s methodology were found, and their corrections are given. Also the two methods are compared regarding to their capacities to identify the number of latent factors by simulations and an empirical application.<br<En este trabajo se analizan dos métodos de reducción de dimensionalidad en series de tiempo multivariadas estacionarias: el método de Peña y Box, basado en el dominio del tiempo, y el método de Brillinger, basado en el dominio de las frecuencias. Se encontraron dos fallas en el método de Peña y Box, y se propusieron correcciones a estas. También se compararon los dos métodos con respecto a la capacidad para identificar el número de factores latentes mediante simulaciones y se realizó una aplicación empírica. |
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Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s methodology were found, and their corrections are given. Also the two methods are compared regarding to their capacities to identify the number of latent factors by simulations and an empirical application.<br<En este trabajo se analizan dos métodos de reducción de dimensionalidad en series de tiempo multivariadas estacionarias: el método de Peña y Box, basado en el dominio del tiempo, y el método de Brillinger, basado en el dominio de las frecuencias. Se encontraron dos fallas en el método de Peña y Box, y se propusieron correcciones a estas. También se compararon los dos métodos con respecto a la capacidad para identificar el número de factores latentes mediante simulaciones y se realizó una aplicación empírica. |
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Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s methodology were found, and their corrections are given. Also the two methods are compared regarding to their capacities to identify the number of latent factors by simulations and an empirical application.<br<En este trabajo se analizan dos métodos de reducción de dimensionalidad en series de tiempo multivariadas estacionarias: el método de Peña y Box, basado en el dominio del tiempo, y el método de Brillinger, basado en el dominio de las frecuencias. Se encontraron dos fallas en el método de Peña y Box, y se propusieron correcciones a estas. También se compararon los dos métodos con respecto a la capacidad para identificar el número de factores latentes mediante simulaciones y se realizó una aplicación empírica. |
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score |
7.399205 |