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Table 5 Accuracy (correlation coefficient) and root mean square error (RMSE) of estimated breeding value (and standard deviation) using the simulated data

From: Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data

  

NUTS (LJK prior)

NUTS (IW prior)

GS

 REML

Correlation coefficient

Scenario 1

    
 

 Trait1

0.48 (0.08)

0.49 (0.08)

0.48 (0.08)

0.49 (0.08)

 

 Trait2

0.72 (0.06)

0.72 (0.06)

0.73 (0.06)

0.73 (0.06)

 

Scenario 2

    
 

 Trait1

0.27 (0.11)

0.27 (0.11)

0.23 (0.13)

0.24 (0.11)

 

 Trait2

0.51 (0.07)

0.50 (0.07)

0.45 (0.13)

0.50 (0.07)

RMSE

Scenario 1

    
 

 Trait1

0.88 (0.05)

0.88 (0.05)

0.88 (0.05)

0.88 (0.05)

 

 Trait 2

1.55 (0.07)

1.57 (0.8)

1.55 (0.07)

1.55 (0.08)

 

Scenario 2

    
 

 Trait1

0.96 (0.10)

0.97 (0.12)

0.97 (0.07)

0.96 (0.08)

 

 Trait2

1.89 (0.20)

1.89 (0.22)

1.96 (0.27)

1.94 (0.30)

  1. NUTS No-U-Turn sampler, LKJ Lewandowski-Kurowicka-Joe, IW inverse-Wishart, GS Gibbs sampling, REML restricted maximum likelihood