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Table 3 Ridge partial correlation estimates for R 1 ( 1 )

From: Bayesian probabilistic network modeling from multiple independent replicates

 

p 1 ( 1 )

p 2 ( 1 )

p 3 ( 1 )

p 4 ( 1 )

p 5 ( 1 )

p 6 ( 1 )

p 7 ( 1 )

p 8 ( 1 )

p 9 ( 1 )

p 10 ( 1 )

p 11 ( 1 )

p 2 ( 1 )

0.75

1.00

         

p 3 ( 1 )

0.10

0.30

1.00

        

p 4 ( 1 )

0.49

-0.49

0.00

1.00

       

p 5 ( 1 )

0.00

0.06

0.13

0.54

1.00

      

p 6 ( 1 )

-0.16

0.14

0.06

0.31

0.31

1.00

     

p 7 ( 1 )

0.14

0.05

0.00

0.02

-0.07

0.00

1.00

    

p 8 ( 1 )

-0.16

0.08

0.07

0.11

-0.05

-0.08

0.49

1.00

   

p 9 ( 1 )

0.00

-0.04

0.16

0.13

-0.07

0.00

0.43

0.39

1.00

  

p 10 ( 1 )

0.07

-0.09

0.00

0.18

0.00

0.00

-0.20

-0.05

-0.04

1.00

 

p 11 ( 1 )

0.21

0.03

-0.08

-0.16

0.00

0.06

0.38

-0.00

-0.09

0.50

1.00

p 12 ( 1 )

-0.21

-0.05

0.09

-0.22

0.11

0.05

-0.05

0.00

0.19

0.54

0.40

  1. Sample partial correlation estimates for R 1 ( 1 ) are computed using the Ridge technique.