Results 11 to 20 of about 62,622 (269)
Randomized graph cluster randomization
Journal of Causal Inference, 2023 Abstract The global average treatment effect (GATE) is a primary quantity of interest in the study of causal inference under network interference. With a correctly specified exposure model of the interference, the Horvitz–Thompson (HT) and Hájek estimators of the GATE are unbiased and consistent, respectively, yet
Ugander Johan, Yin Hao
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Randomness? What Randomness? [PDF]
Foundations of Physics, 2020 AbstractThis is a review of the issue of randomness in quantum mechanics, with special emphasis on its ambiguity; for example, randomness has different antipodal relationships to determinism, computability, and compressibility. Following a (Wittgensteinian) philosophical discussion of randomness in general, I argue that deterministic interpretations of
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Random Trees in Random Graphs [PDF]
Proceedings of the American Mathematical Society, 1988 We show that a random labeled n n -vertex graph almost surely contains isomorphic copies of almost all labeled
Bender, E. A., Wormald, N. C.
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IEEE Access, 2021 The processes and systems in the real world actually contain order and symmetry. Understanding these order and symmetrical behavior has been a common effort of scientists.
Mehmet Sahin Acikkapi, Fatih Ozkaynak
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Randomized Quasi-Random Testing [PDF]
IEEE Transactions on Computers, 2016 Random testing is a fundamental testing technique that can be used to generate test cases for both hardware and software systems. Quasi-random testing was proposed as an enhancement to the cost-effectiveness of random testing: In addition to having similar computation overheads to random testing, it makes use of quasi-random sequences to generate low ...
Huai Liu, Tsong Yueh Chen
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Frontiers in Neuroscience, 2018 Deep brain stimulation (DBS) has been used for treating many brain disorders. Clinical applications of DBS commonly require high-frequency stimulations (HFS, ∼100 Hz) of electrical pulses to obtain therapeutic efficacy.
Zhaoxiang Wang +2 more
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A random shock is not random assignment [PDF]
Economics Letters, 2016 A random shock excludes reverse causality and reduces omitted variable bias. Yet a natural experiment does not identify random exposure to treatment, but the reaction to a random change from baseline to treatment. A lab experiment comparing higher certainty with higher severity of punishment for stealing (holding the expected value of the intervention ...
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Random fields and random sampling [PDF]
Kybernetika, 2020 The authors study the limit in distribution of the maximum of a stationary bivariate real random field, sampled at double random times under some dependence conditions. It is shown that the limit distribution is a max-semistable distribution when the random samples have a geometric growth pattern. When the random field is sampled at double random times,
Sandra Dias, Maria da Graça Temido
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The randomized communication complexity of randomized auctions [PDF]
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021 We study the communication complexity of incentive compatible auction-protocols between a monopolist seller and a single buyer with a combinatorial valuation function over $n$ items. Motivated by the fact that revenue-optimal auctions are randomized [Tha04,MV10,BCKW10,Pav11,HR15] (as well as by an open problem of Babaioff, Gonczarowski, and Nisan ...
Aviad Rubinstein, Junyao Zhao 0001
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Random walks on the random graph [PDF]
The Annals of Probability, 2018 We study random walks on the giant component of the Erdős–Rényi random graph G(n,p) where p=λ/n for λ>1 fixed. The mixing time from a worst starting point was shown by Fountoulakis and Reed, and independently by Benjamini, Kozma and Wormald, to have order log2n.
Berestycki, Nathanaël +3 more
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