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Description
  • Vector autoregressive model is a very popular tool in multiple time series analysis. Its parameters are usually estimated by the least squares procedure which is very sensitive to the presence of errors in data, e.g. outliers. If outliers were present, the estimation results would become unreliable. Therefore in the presented paper we will propose a new procedure for estimating multivariate regression model. This method is a multivariate generalization of the univariate Least Weighted Squares (LWS) of residuals introduced in [14]. Therefore we will call this estimate Multivariate Least Weighted Squares (MLWS) and we will use it for estimating the coeficients of vector autoregressive model. We will also perform a simulation study to compare our estimate with LS and robust Multivariate Least Trimmed Squares (MLTS).
  • Vector autoregressive model is a very popular tool in multiple time series analysis. Its parameters are usually estimated by the least squares procedure which is very sensitive to the presence of errors in data, e.g. outliers. If outliers were present, the estimation results would become unreliable. Therefore in the presented paper we will propose a new procedure for estimating multivariate regression model. This method is a multivariate generalization of the univariate Least Weighted Squares (LWS) of residuals introduced in [14]. Therefore we will call this estimate Multivariate Least Weighted Squares (MLWS) and we will use it for estimating the coeficients of vector autoregressive model. We will also perform a simulation study to compare our estimate with LS and robust Multivariate Least Trimmed Squares (MLTS). (en)
Title
  • Robust estimation of the VAR model
  • Robust estimation of the VAR model (en)
skos:prefLabel
  • Robust estimation of the VAR model
  • Robust estimation of the VAR model (en)
skos:notation
  • RIV/00216208:11320/10:10071396!RIV11-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/09/0557), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 285572
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/10:10071396
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • model; VAR; the; estimation; Robust (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ECB4A199255E]
http://linked.open...v/mistoKonaniAkce
  • České Budějovice
http://linked.open...i/riv/mistoVydani
  • České Budějovice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 28th International Conference Mathematical Methods in Economics 2010, Part I
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jonáš, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Jihočeská univerzita, ekonomická fakulta
https://schema.org/isbn
  • 978-80-7394-218-2
http://localhost/t...ganizacniJednotka
  • 11320
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