Normal-Wishart Prior
Posted: Sat Jan 16, 2016 9:11 am
Hi,
I have some questions and issues with the way the NIW prior is implemented, including in EViews 9.
1. Is it not clear to me whether you are implementing the independent Normal - Wishart or the natural conjugate NIW. The manual seems to suggest that it is the conjugate, but is is not clear and there seem to be several mistakes (Ch 18, p 596).
2. It is not clear to me why EViews allows the user to only specify 2 hyperparameters, miu1 and lambda1, instead of the 4 which characterize this prior. It is also unclear how the variance of theta, which should be of the Kronecker form, can be written as lambda1*I. Also, strangely, lambda1 going to 0 implies a more non-informative prior, when it should actually mean a very tight prior.
I would be very grateful if you could provide the references as to how this prior was implemented.
Thanks & regards,
Adina
I have some questions and issues with the way the NIW prior is implemented, including in EViews 9.
1. Is it not clear to me whether you are implementing the independent Normal - Wishart or the natural conjugate NIW. The manual seems to suggest that it is the conjugate, but is is not clear and there seem to be several mistakes (Ch 18, p 596).
2. It is not clear to me why EViews allows the user to only specify 2 hyperparameters, miu1 and lambda1, instead of the 4 which characterize this prior. It is also unclear how the variance of theta, which should be of the Kronecker form, can be written as lambda1*I. Also, strangely, lambda1 going to 0 implies a more non-informative prior, when it should actually mean a very tight prior.
I would be very grateful if you could provide the references as to how this prior was implemented.
Thanks & regards,
Adina