Re:Leaked grant proposal details high-risk coronavirus research
by passivate on Saturday September 25, 2021 @12:10PM
(#28654200)
>Actually, Bayes statistics works great in poorly defined problem spaces where we can update our priors as new information becomes available. Just like in the issue under discussion.
Can you give me a few comparable scenarios where it worked great?
Re:Leaked grant proposal details high-risk coronavirus research
by lovemenot on Sunday September 26, 2021 @03:16AM
(#28659038)
One of the techniques is Bayesian search
https://www.inf.ed.ac.uk/teaching/courses/dmr/Notes2019/7-Ba...
I don't know whether Bayesian search is currently being used to search for the unknown reservoir species from which SARS-COV-19 jumped to infect humans (assuming a natural cause).
Under this approach, the longer the search goes on, the more we may lessen our confidence in the prior assumption that it was a natural infection.
Actually, Bayes statistics works great in poorly defined problem spaces where we can update our priors as new information becomes available. Just like in the issue under discussion.
Your example of rolling dice is Frequentist, not Bayesian. We wouldn't use Frequentist stats in this domain, for the reasons you mention.