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Table 1 Posterior mean (SD) for various variance mixture models

From: A full Bayesian hierarchical mixture model for the variance of gene differential expression

Model Bayesian Model EM algorithm
  π j σ ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacuWFdpWCgaqeaaaa@2E8E@ j π j σ ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacuWFdpWCgaqeaaaa@2E8E@ j
2 Classes     
1 0.2276 (0.009) 0.7624 (0.008) 0.2286 0.7607
2 0.7724 (0.0085) 0.3426 (0.0024) 0.7713 0.3422
BIC 22911.89   22657.89  
3 Classes     
1 0.0677 (0.0039) 1.0220 (0.2627) 0.0688 1.0225
2 0.4462 (0.0170) 0.4977 (0.0077) 0.4546 0.4970
3 0.4860 (0.0182) 0.2841 (0.0035) 0.4766 0.2839
BIC 21819.82   21703.82  
4 Classes     
1 0.2303 (0.0146) 0.6125 (0.0129) 0.2317 0.6125
2 0.0384 (0.0045) 1.1547 (0.0321) 0.0370 1.1523
3 0.2318 (0.0218) 0.2413 (0.0053) 0.2285 0.2427
4 0.4994 (0.0201) 0.3775 (0.0161) 0.5028 0.3782
BIC 21727.75   21620.86  
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