Average Case Analysis of Algorithms on Sequences
By Wojciech Szpankowski. 2001
548 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5543767782c7097df689e278fb778ab3fba4bc70
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- Ronitt Rubinfeld
- Reut Levi
- Robert Sedgewick
- Jayadev Acharya
- Clément Louis Canonne
- Ilias Diakonikolas
- Sivaraman Balakrishnan
- Oded Goldreich
Citations in the corpus
- Testing Properties of Collections of Distributions (2013, methodology): “To this end we define a slightly different process for generating the samples that involves Poissonization [Szp01].”
- Analytic Combinatorics (2009, methodology): “Applications are to be found in classical probability theory and statistics [139] (the so-called Bernoul li trial models), as well as in computer science [564] and mathematical models of biology [ 603].”
- Strong Lower Bounds for Approximating Distribution Support Size and the Distinct Elements Problem (2007, unknown): “The proofs use a technique called Poissonization [15], in which one modifies a probability experiment to replace a fixed quantity (e.”
- Convergence properties of functional estimates for discrete distributions (2001, unknown): “, [20, 16], or [24].”
- Extremal Properties of Random Structures (2003, unknown): “Random graphs are fundamental in theoretical computer science [9,14,10,15].”
- HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm (2007, unknown): “We then find K(x) = x2 (∫ ∞ 0 uf(u)m du + ǫ′m(x) + o(1) ) , (25) where ǫ′(x) is a small oscillating function, implying VP(λ)(Z) = λ 2 (∫ ∞ 0 uf(u)m du − (∫ ∞ 0 f(u)m du )2 + ǫ′′(λ) + o(1) ) (26) (with ǫ′′ small), which constitutes the analogue of Proposition 2.”