# Rh/Fragment 150 11

## < Rh

32.134Seiten in
diesem Wiki

 Typus Verschleierung Bearbeiter Graf Isolan Gesichtet
Untersuchte Arbeit:
Seite: 150, Zeilen: 10-18
Quelle: Chen et al. 2006
Seite(n): 8 (preprint), Zeilen: 26-36
5.5.5. Prediction. The calculation of the predictive probability of new data will be averaged over a number of MCMC samples, which are selected from those samples where the algorithm tends to stabilize. Stabilization will be assessed heuristically based on the value of the log-likelihood. Additionally to eliminate the auto-correlation, one sample will be selected from each consecutive set of 10 iterations. For a particular MCMC sample, the predictive probability is attained from two components: the represented and the unrepresented mixtures. In a similar manner to that adopted in the sampling stage, the probability from unrepresented mixtures will be approximated by a finite mixture of Gaussians, whose parameters (&#x03BCl, &#x03A9l) are drawn from the prior. 2.4 Prediction

The calculation of the predictive probability of new data will be averaged over a number of MCMC samples, which are selected from those where the algorithm tends to stabilize. Stabilization will be assessed heuristically based on the value of the log-likelihood. Additionally to eliminate the auto-correlation, one sample will be selected from each consecutive set of 10 iterations.

For a particular MCMC sample, the predictive probability is attained from two components: the represented and the unrepresented mixtures. In a similar manner to that adopted in the sampling stage, the probability from unrepresented mixtures will be approximated by a finite mixture of Gaussians, whose parameters, (&#x03BCj, &#x03C4j) are drawn from the prior.

 Anmerkungen identisch; ohne Kennzeichnung und ohne Quellenangabe. Sichter (Graf Isolan), KnallErbse, Hindemith