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Bayesian estimation and latent class ... |
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Message/Author |
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Jon Heron posted on Sunday, May 03, 2015 - 2:47 am
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Sorry, me again! I've just obtained this error *** FATAL ERROR MODELS WITH LATENT CLASS VARIABLE REGRESSION CAN NOT BE ESTIMATED WITH THE BAYES ESTIMATOR. Is this due to the problem of obtaining an appropriate conjugate prior for the multinomial parameters? Assuming I am right, given that MH is not currently available for mixtures, do you have a recommendation? I'm mindful of the fact that I must make additional assumptions if I wish to render my covariate dependent for the imputation step. Since on this occasion my X is binary, I'm wondering about a knownclass solution . . . many thanks, Jon |
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No statistical reason, we just haven't yet implemented Bayes for "c ON x". If you have one Binary X, yes, Knownclass would work and then do "c ON c". |
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Jon Heron posted on Monday, May 04, 2015 - 8:44 am
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Great, thanks Bengt |
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Jon Heron posted on Wednesday, May 06, 2015 - 2:23 am
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Oh ! knownclass isn't an option for me *** ERROR in ANALYSIS command Analysis with more than one categorical latent variables is not allowed with ESTIMATOR=BAYES. wasn't expecting that. Any ideas? thanks, Jon |
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Ah, yes. Sorry, no idea for getting around that. We have Bayes "c on x" on our list pretty high up. |
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Tihomir reminded me that if you have a 2 x 2 latent class variable situation you can always turn it into a single latent class variable with 4 classes. But then you have to add various parameter constraints to get the same model and that may not be straightforward. |
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Jon Heron posted on Thursday, May 07, 2015 - 2:23 am
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Neat solution, I like a challenge :-) Thanks, J |
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