This article mainly investigates whether common Bayesian confirmation measures are affected by stopping rules. The results indicate that difference measure d, log-ratio measure r, and log-likelihood measure l are not affected by non-informative stopping rules, but affected by informative stopping rules. In contrast, Carnap measure $$\tau $$, normalized difference measure n, and Mortimer measure m are affected by (non-)informative stopping rules sometimes but sometimes aren’t. Besides, we use two…
Read moreThis article mainly investigates whether common Bayesian confirmation measures are affected by stopping rules. The results indicate that difference measure d, log-ratio measure r, and log-likelihood measure l are not affected by non-informative stopping rules, but affected by informative stopping rules. In contrast, Carnap measure $$\tau $$, normalized difference measure n, and Mortimer measure m are affected by (non-)informative stopping rules sometimes but sometimes aren’t. Besides, we use two examples to further illustrate that confirmation measures d, r, and l are better than $$\tau,n$$, and m.
