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Table 1 Number of probe sets identified from Models II, III , and IV under four different priors for \(\pi _j\) using Bayes Factor for \(\gamma _j\) and \(\beta _j\)

From: Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia

Prior

BF

Model II

Model III

Model IV

\(\pi _j=0.50\)

\(\gamma _j\)

4

1

3

\(\pi _j=0.50\)

\(\beta _j\) or \(\beta _j\gamma _j\)

4

1

2

\(\pi _j=0.05\)

\(\gamma _j\)

8

11

18

\(\pi _j=0.05\)

\(\beta _j\) or \(\beta _j\gamma _j\)

4

6

20

\(\pi _j\sim {\text {Beta}}(1,19)\)

\(\gamma _j\)

9

13

19

\(\pi _j\sim {\text {Beta}}(1,19)\)

\(\beta _j\) or \(\beta \gamma _j\)

4

6

20

\(\pi _j\sim {\text {Beta}}(0.01,0.19)\)

\(\gamma _j\)

8

12

17

\(\pi _j\sim {\text {Beta}}(0.01,0.19)\)

\(\beta _j\) or \(\beta \gamma _j\)

4

6

18