Log data density [Laplace approximation] is NaN.

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Log data density [Laplace approximation] is NaN.

Postby xusherry » Sat Jul 30, 2016 5:37 am

Dear all:
when i use bayesian esimation method to estimate some parameters using quartly data, and i get errors following that:
Log data density [Laplace approximation] is NaN.
I don't know how to solve, what is the problem?
I wonder whether is the data problem, and the procedure i handle the data following that:(1)seasonal adjustment to get the trending and cyclic data;(2) then use the logarithmic form for the data;(3) use hp filtering to get the cyclic data, is the procedure right?
And the last question is how to judge the bayesian estimation results or how to judge the model is good or bad?
Hope for your help, thank you!!
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Re: Log data density [Laplace approximation] is NaN.

Postby jpfeifer » Mon Aug 01, 2016 7:11 am

------------
Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
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Location: Cologne, Germany


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