Results 1 to 10 of about 682,401 (123)
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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Randomization-Based Confidence Intervals for Cluster Randomized Trials [PDF]
, 2020 In a cluster randomized trial (CRT), groups of people are randomly assigned to different interventions. Existing parametric and semiparametric methods for CRTs rely on distributional assumptions or a large number of clusters to maintain nominal ...
Rabideau, Dustin J, Wang, Rui
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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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Two-period linear mixed effects models to analyze clinical trials with run-in data when the primary outcome is continuous: Applications to Alzheimer\u27s disease. [PDF]
, 2019 Introduction: Study outcomes can be measured repeatedly based on the clinical trial protocol before randomization during what is known as the run-in period.
Aschenbrenner, Andrew J +9 more
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Random walks with random velocities
Physical Review E, 2008 We consider a random walk model that takes into account the velocity distribution of random walkers. Random motion with alternating velocities is inherent to various physical and biological systems. Moreover, the velocity distribution is often the first characteristic that is experimentally accessible. Here, we derive transport equations describing the
Zaburdaev, V. +2 more
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Robust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization
, 2019 Covariate-adaptive randomization is popular in clinical trials with sequentially arrived patients for balancing treatment assignments across prognostic factors which may have influence on the response.
Shao, Jun, Ye, Ting
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