Results 11 to 20 of about 1,182,141 (298)
Randomizing without randomness
Economic Theory, 2022 AbstractWe provide a methodology for eliciting utility midpoints from preferences, assuming that payoffs are consumption plans and that preferences satisfy a minimal form of additive separability. The methodology does not require any subjective or objective uncertainty.
Paolo Ghirardato, Daniele Pennesi
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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 known to exhibit ...
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 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,
Dias, Sandra, Temido, Maria da Graça
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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 n n -vertex trees, in two senses. In the first sense, the probability of each edge occurring in the graph diminishes as n n increases, and the set of trees referred to as "almost all" depends
Bender, E. A., Wormald, N. C.
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Random matrices and random graphs
ESAIM: Proceedings and Surveys, 2023 We collect recent results on random matrices and random graphs. The topics covered are: fluctuations of the empirical measure of random matrices, finite-size effects of algorithms involving random matrices, characteristic polynomial of sparse matrices and Voronoi tesselations of split trees.
Capitaine, Mireille +4 more
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Dealing with missing data in covariates: The missing indicator method [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 This vignette presents the missing indicator method for handling missing data in covariates. The method unfolds through two activities, guiding students in the practical implementation of the method and comparable alternatives using statistical software.
Jolani, Shahab, Weinstein, Pawel
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Physiological Effects of Single Shocks on the Hand-Arm System—A Randomized Experiment
Proceedings, 2023 Physiological health effects (vibration perception thresholds and infrared skin temperature) of single-impact exposures and vibration exposures have been evaluated.
Elke Ochsmann +4 more
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Randomization in Surveys with the Halton Sequence
Survey Research Methods, 2018 Randomization has been widely used in surveys for various purposes such as within household respondent selection, rotation of questions and answer choices, and split sample (or ballot) technique for survey experiments.
Kien T. Le, Martha McRoy, Abdoulaye Diop
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On Consequentialism and Fairness
Frontiers in Artificial Intelligence, 2020 Recent work on fairness in machine learning has primarily emphasized how to define, quantify, and encourage “fair” outcomes. Less attention has been paid, however, to the ethical foundations which underlie such efforts.
Dallas Card +2 more
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