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| Probabilistic latent semantic analysis |
 
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Greetings,
I am just getting started with Mplus. Coincidentally, I'm investigating the behaviour of so-called probabilistic latent semantic analysis (Hoffman 1999) http://www.cs.brown.edu/~th/papers/Hofmann-UAI99.pdf , which is a fancy name for a latent mixture model with nominal observed and unobserved vars. Parameters are estimated using EM. I have implemented the procedure in software, but I am wondering if Mplus is capable of fitting these models as well -- and if so, whether there are scalability issues with using Mplus that make in impractical for this application.
Best,
jds |
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| A model with nominal observed and categorical variables using EM is possible in Mplus. See Example 7.7 in the user's guide. |
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