Daniel Berend
Ben-Gurion University of the Negev
158 Papers
588 Citations
Daniel Berend is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Random variable & Majority rule. The author has an hindex of 22, co-authored 146 publications. Previous affiliations of Daniel Berend include Hebrew University of Jerusalem & University of Texas at Austin.
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Papers
A sharp estimate of the binomial mean absolute deviation with applications
Daniel Berend,Aryeh Kontorovich +1 more
TL;DR: In this article, the authors give asymptotically optimal tail estimates of the total variation distance between the empirical and the true distributions over countable sets for all p ∈ [ 0, 1 ] and illustrate a simple transition from the linear regime near the endpoints to the square root regime elsewhere.
87
•Posted Content
On the Concentration of the Missing Mass
Daniel Berend,Aryeh Kontorovich +1 more
TL;DR: In this paper, the authors sharpen and simplify McAllester and Ortiz's results (JMLR, 2003) bounding the probability of large deviations of the missing mass, along with refining and rigorously proving a fundamental inequality of Kearns and Saul.
64
•Proceedings Article
Consistency of weighted majority votes
Daniel Berend,Aryeh Kontorovitch +1 more
- 08 Dec 2014
TL;DR: In this paper, the authors revisited the classical decision-theoretic problem of weighted expert voting and examined the consistency of the optimal Nitzan-Paroush weighted majority and related rules.
Modulated and subsequential ergodic theorems in Hilbert and Banach spaces
TL;DR: In this article, the necessary and sufficient conditions for the convergence of a strictly increasing sequence of positive integers to a T-fixed point for every weakly almost periodic T or for every contraction in a Hilbert space and not for every weaker almost periodic operator in Banach spaces were obtained.
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Analysis of airplane boarding via space-time geometry and random matrix theory
Abstract: We show that airplane boarding can be asymptotically modeled by 2-dimensional Lorentzian geometry. Boarding time is given by the maximal proper time among curves in the model. Discrepancies between the model and simulation results are closely related to random matrix theory. We then show how such models can be used to explain why some commonly practiced airline boarding policies are ineffective and even detrimental.
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