Probabilistic models of our thinking
Aren’t the explanations in the legend of the figure “Probability and set operations” swapped?
Great article. I love how math simplifies things, by making reasonable assumptions.
In the applied sciences world, the multiple lines of evidence approach is preferred.
This is because nature is complicated and false positive or false negative results often “switch signs” with time.
Fig: Probability and set operations
ist "A union B: probability that A and B happen" statement wrong?
Trivadar, can you correct the issue that has been conveyed to you in this article from two readers? I have noticed this too. The delineations in the image "Probability and set operations" are incorrect.
“the one with the largest likelihood.” Doesn’t this assume a uniform Prior ?
So... what's the answer for the Balls and urns problem?
Sorry, left that off by accident :) The Bayes theorem gives that P(urn 1 | red) = 8/13, which is approximately 61.5%.
Aren’t the explanations in the legend of the figure “Probability and set operations” swapped?
Great article. I love how math simplifies things, by making reasonable assumptions.
In the applied sciences world, the multiple lines of evidence approach is preferred.
This is because nature is complicated and false positive or false negative results often “switch signs” with time.
Fig: Probability and set operations
ist "A union B: probability that A and B happen" statement wrong?
Trivadar, can you correct the issue that has been conveyed to you in this article from two readers? I have noticed this too. The delineations in the image "Probability and set operations" are incorrect.
“the one with the largest likelihood.” Doesn’t this assume a uniform Prior ?
So... what's the answer for the Balls and urns problem?
Sorry, left that off by accident :) The Bayes theorem gives that P(urn 1 | red) = 8/13, which is approximately 61.5%.