TABLE 1.

The average number of outcomes correctly identified as relevant and incorrectly chosen as relevant in different settings with data generated from (2.1). The table shows the results from the original SSVS prior with $\mu =0$ and our proposed prior where $\mu$ is unknown. $K_1$ is the true number of relevant outcomes. The fourth and fifth columns show the number of outcomes that each model detects as relevant. The next two columns show the number of relevant outcomes correctly identified by each model. The last two columns show the number of irrelevant outcomes that were detected as relevant. All numbers are averaged over 10 simulations.

		# identified as relevant		# correctly identified		# incorrectly identified
True μ	K 1	μ unknown	μ = 0	μ unknown	μ = 0	μ unknown	μ = 0
−0.1	5	4.9	4.4	1.6	1.5	3.3	2.9
	10	5.2	5.3	1.9	2.1	3.3	3.2
	15	5.1	4.4	4.5	3.5	0.6	0.9
−3	5	5	5	5	5	0	0
	10	10	10.1	10	10	0	0.1
	15	15	15	15	15	0	0