Nonparametric Bayesian Discrete Latent Variable Models for ...
Nonparametric Bayesian Discrete Latent Variable Models for ...
Nonparametric Bayesian Discrete Latent Variable Models for ...
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3 Dirichlet Process Mixture <strong>Models</strong><br />
Table 3.2: Paired t-test scores of leave one out predictive densities. The test does not give<br />
enough evidence in case of the Geyser data, however it shows that KDE is statistically<br />
significantly different than both DP models <strong>for</strong> the higher dimensional data sets.<br />
Also, CDP is signifcantly different than CCDP <strong>for</strong> the Wine data.<br />
400<br />
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200<br />
100<br />
0<br />
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0<br />
Data set KDE/CDP KDE/CCDP CDP/CCDP<br />
Geyser 0.95 0.59 0.41<br />
Spiral