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Tomer Sher

Publications and source records attributed to Tomer Sher.

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Asymptotic Results for Uniform Group Drawing in the Coupon Collector's Problem

The article explores the asymptotic behavior of the expected number of drawings in the Coupon Collector's Problem with group-drawing under the uniform distribution. In this variant, each draw consists of a package of $s$ distinct coupons selected uniformly at random from a set of $n$ coupons. We focus on three regimes of the package size $s$: (i) constant $s$, (ii) $s$ proportional to $n$, and (iii) $s$ "very close" to $n$. For each case, we provide precise asymptotic expressions for the expected collection time. Keywords: Coupon Collector's Problem, Group Drawings, Uniform Distribution, Asymptotic Analysis, Expected Collection Time

math.PR

On a Conjecture on Uniform Group Drawings in the Coupon Collector Problem

We address a conjecture of Schilling concerning the optimality of the uniform distribution in the generalized Coupon Collector's Problem (CCP) where, in each round, a subset (package) of $s$ coupons is drawn from a total of $n$ distinct coupons. While the classical CCP (with single-coupon draws) is well understood, the group-draw variant, where packages of size $s$ are drawn, presents new challenges and has applications in areas such as biological network models. Consider the set of all distributions over the collection of $\binom{n}{s}$ packages of size $s$. Schilling showed that, for $s=n-1$, the uniform distribution yields the minimal expected time for collecting all coupons. She further conjectured that, for $2\le s\le n-2$, the uniform distribution does not yield the minimum. We prove Schilling's conjecture in full by presenting "natural" non-uniform distributions yielding strictly lower expected collection times. Explicit formulas are provided for the expected number of rounds under these and related distributions Keywords: Coupon Collector's Problem, Group Drawings, Uniform Distribution, Expected Collection Time, Schilling's Conjecture, Optimal Distribution.

math.PR