One example of a selection algorithm would be: “You go to a bar in Austin, you are talking with a person and you learn that for the person X is true. Is it more likely that A or B”
This setup allows me to picture an event happening in the real world and events have likelihoods.
While the ambiguity is unlikely to lead to a misunderstanding in this case, there are plenty of decision theoretic problems where it matters. When creating practice exercises you want them to be specific and without ambiguity.
I have now write up the story of cancer and have a draft, I’ll share it with you.
Thank you for the feedback and the interesting story about the American Cancer Society!
Do you have a blog or place where you write about that type of “background” information/history?
I still have a lot to learn and you are right not everything is black and white, reality is complex.
At the start, you mentioned “selection algorithm”, could you expand on that?
Thanks!
One example of a selection algorithm would be: “You go to a bar in Austin, you are talking with a person and you learn that for the person X is true. Is it more likely that A or B”
This setup allows me to picture an event happening in the real world and events have likelihoods.
While the ambiguity is unlikely to lead to a misunderstanding in this case, there are plenty of decision theoretic problems where it matters. When creating practice exercises you want them to be specific and without ambiguity.
I have now write up the story of cancer and have a draft, I’ll share it with you.