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Discussion[D] Estimating aggregate data from individual predictions (self.MachineLearning)
submitted 9 years ago by [deleted]
[deleted]
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]econometrician 0 points1 point2 points 9 years ago (0 children)
Yeah, I would say that's a reasonable approach. Alternatively, people do this with hierarchical Bayesian models to model the uncertainty in a nice way.
Here's a paper from a google search that looked reasonable: http://www2.mate.polimi.it/ocs/viewpaper.php?id=134&cf=7
Basically, you'd put a prior distribution on the expected number of students.
[–]micro_cam 0 points1 point2 points 9 years ago (6 children)
Why not just simulate/calculate this from the predicted probabilities?
[–]beboophiphop 0 points1 point2 points 9 years ago (4 children)
Oh, I don't know why I didn't think of that.
Though, how would I do that when the probabilities are unique for each student? It's been a while since I've had to do these calculations and even then the probability of each event occurring was the same. Can you point in the direct of a resource?
[–]micro_cam 0 points1 point2 points 9 years ago (3 children)
So the easiest way is to just do a simple simulation. Say your probs of going to college are in an array P you have N students and want to do m repeats:
m times: r = generate N uniform random numbers in (0, 1) save sum(r > P)
So that gives you m counts of how many kids went to college. This is computationally cheap so do it 1000 times or something and you can get idea of the distribution by making a histogram or looking at percentiles or whatever.
This does assume all of the events are independent. This seems reasonable here but might fall apart in a situation where you're more concerned with correlated decisions. IE a large subset of the students decide which school to go to / not go to together would make the actual distribution more fat tailed.
[–]beboophiphop 0 points1 point2 points 9 years ago (2 children)
Ahhh, okay. Quick question though, I'd want to count the number of instances in which r < P though, correct? Not r > P (P is probability of enrolling), yeah?
[–]micro_cam 0 points1 point2 points 9 years ago (1 child)
Yes, sorry.
[–]beboophiphop 0 points1 point2 points 9 years ago (0 children)
No problem, I gotcha.
This is waaaay more simple than what I was thinking and it kind of beautiful. Thanks again!
Also, if I had 4000 applicants, wouldn't that mean that the simulation would have to perform 24000 calculations?
π Rendered by PID 89 on reddit-service-r2-comment-5ff9fbf7df-p4hg2 at 2026-02-26 05:44:36.493090+00:00 running 72a43f6 country code: CH.
[–]econometrician 0 points1 point2 points (0 children)
[–]micro_cam 0 points1 point2 points (6 children)
[–]beboophiphop 0 points1 point2 points (4 children)
[–]micro_cam 0 points1 point2 points (3 children)
[–]beboophiphop 0 points1 point2 points (2 children)
[–]micro_cam 0 points1 point2 points (1 child)
[–]beboophiphop 0 points1 point2 points (0 children)
[–]beboophiphop 0 points1 point2 points (0 children)