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Modify the distribution of observation errors #28

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ghost opened this issue Jan 8, 2018 · 1 comment
Open

Modify the distribution of observation errors #28

ghost opened this issue Jan 8, 2018 · 1 comment

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@ghost
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ghost commented Jan 8, 2018

Hi, I would like to know if there is a way to implement a SSModel in which the observation errors follow a heavy-tailed distribution like Student's t, instead of the Gaussian distribution.

@helske
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helske commented Jan 24, 2018

Unfortunately KFAS does not directly support these as they need a bit different type of approach. However, for t-distribution I think in Durbin & Koopman (2012) book there is a straightforward suggestion how to handle this case, which I also used in one project ages ago.

edit: Chapter 10.8.3 of the book likely contains the relevant information.

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