Binomial Approximation to the Poisson Binomial Distribution: The Krawtchouk Expansion
By B. Roos. 2001
80 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/9833f673a10cadf0010168c565fbe96daeb296c0
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In Artificial Intelligence
- Joe Neeman
- Elchanan Mossel
- Pedro Jodrá
- Allan Sly
- José A. Adell
- Francis R. Bach
- Ingo Steinwart
- Stefan Wager
In Finance
In Mathematical Physics
- Elchanan Mossel
- Joe Neeman
- Pedro Jodrá
- Allan Sly
- José A. Adell
- Francis R. Bach
- Ingo Steinwart
- Stefan Wager
Citations in the corpus
- A Proof of the Block Model Threshold Conjecture (2013, background): “Indeed, for each vertex u outside U we have that , It is well known (see e.g. [25]) that Next we note that with high probability | S ∗ | = (cid:100)√ loglog n (cid:101) since the probability that there exists a vertex in V (cid:48)(cid:48) with that number of neighbors tends to one; we will…”
- Exact Kolmogorov and total variation distances between some familiar discrete distributions (2006, result): “Let n ∈ N∗, 0 < p < 1, and q := 1− p. Denote by Sn(p) a random variable having the binomial distribution with parameters n and p, that is, P ( Sn(p)= k ) := ( n k ) pkqn−k, k = 0,1, . . . ,n. (2.13) The well-known binomial-beta relation (cf. Johnson et al. [4, page 117 ]) reads as P ( Sn(p)≥ k )= n ”