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Estimation of autoregressive models with epsilon-skew-normal innovations

Abstract : We consider the problem of modelling asymmetric near-Gaussian correlated signals by autoregressive models with epsilon-skew normal innovations. Moments and maximum likelihood estimators of the parameters are proposed and their limit distributions are derived. Monte Carlo simulation results are analyzed and the model is fitted to a real time series.
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https://hal-supelec.archives-ouvertes.fr/hal-01108724
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Submitted on : Friday, January 23, 2015 - 1:30:01 PM
Last modification on : Wednesday, September 16, 2020 - 4:45:44 PM
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Pascal Bondon. Estimation of autoregressive models with epsilon-skew-normal innovations. 22nd European Signal Processing Conference (EUSIPCO 2014) , Sep 2014, Lisboa, Portugal. ⟨10.1016/j.jmva.2009.02.006⟩. ⟨hal-01108724⟩

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