Maximum Likelihood Estimation of the MA(1) Model

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  • Опубликовано: 24 дек 2024

Комментарии • 8

  • @gppark91
    @gppark91 5 лет назад +6

    Thanks a lot. I m south korean student :)

  • @ikanurhamdiyah3239
    @ikanurhamdiyah3239 4 года назад +2

    How to estimate ARIMA(p,d,q) or example ARIMA(3,1,1) using MLE?

  • @BenOgorek
    @BenOgorek Год назад

    Instead of "setting" epsilon_0 to 0, can you think of 0 as being the maximimum likelihood estimate of epsilon_0?

  • @danpovey
    @danpovey 5 лет назад +3

    Warning: at the end he says it's a highly nonlinear problem with no analytical solution.

  • @RTM-k1j
    @RTM-k1j Год назад

    The epsilons cannot be computed without alpha. Where does alpha come from??

    • @BenOgorek
      @BenOgorek Год назад

      alpha is a parameter you're trying to estimate. Numerical algorithms will take a starting value, like alpha = .5, compute the likelihood, and travel in a direction towards greater likelihood values.

  • @denisbaranoff
    @denisbaranoff 3 года назад

    Thank you!