Comparing the Performance of SSVS and RJMCMC for Bayesian variable selection： Application to WTCCC Data Sets.
碩士 === 國立彰化師範大學 === 統計資訊研究所 === 100 === For logistic mixed models including both fixed and random effects, it is even more difficult to perform variable selection. In general, one can select fixed and random effects simultaneously by using stochastic search variable selection (SSVS). However, when t...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30690103168436099484 |