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Timeline for Hashed coupon collector

Current License: CC BY-SA 4.0

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Aug 7, 2019 at 6:15 comment added Michael Given a particular $h$ function, so you have values $K_1, ..., K_n$ that specify the number of customers who like each card $\{1, ..., n\}$, you can get a simple exact answer if you change the problem to assume each of the $r$ customers arrives according to an independent Poisson process of rate $\lambda$.
Jun 16, 2019 at 20:44 comment added John D @Jan-ChristophSchlage-Puchta- I had hard times deriving any bound that I can work with by looking at all possible $h$ values. I'm also not looking for a tight bound, just some rough estimate on how this behaves would do, even in the case where the probability of being surjective is large. Specifically, I have $r\gg n$, and $\delta$ that can be a relatively large constant (say, 1/3).
Jun 16, 2019 at 20:36 history edited John D CC BY-SA 4.0
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Jun 16, 2019 at 16:08 comment added Jan-Christoph Schlage-Puchta For any given map $h$ the probability can be computed by a weighted coupon colector problem. The distribution of $h$ can also be computed. The combination of both counting problems can become quite difficult, depending on what parameter range and what accuracy you look at. If $\delta$ is much bigger than the probability that $h$ is not surjective, you can neglect all "strange" partitions occurring as pre-image of $h$, and some standard coupon collector results suffice. If $\delta$ is close to that probability, the problem will become pretty difficult.
Jun 16, 2019 at 16:00 comment added Jan-Christoph Schlage-Puchta @user44191: The random customers could either all be the one customer, that likes card 1, or all of them could be one of the two customers, who like card 2.
Jun 16, 2019 at 2:25 comment added user44191 I think I must be missing something; how do you get $(1/3)^4 + (2/3)^4$? All probabilities should be dyadic, right?
Jun 16, 2019 at 0:50 review Close votes
Jun 16, 2019 at 16:08
Jun 15, 2019 at 20:15 review First posts
Jun 15, 2019 at 21:24
Jun 15, 2019 at 20:14 history asked John D CC BY-SA 4.0