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Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.15031
Abstract: This meta-analysis evaluates the use of cumulative meta-analysis of rare events as a tool for safety monitoring of clinical trials using the example of coronary bioresorbable vascular scaffold–associated thrombosis.
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Keywords:
cumulative meta;
meta;
rare events;
analysis rare ... See more keywords
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Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9142
Abstract: The increasingly widespread use of meta-analysis has led to growing interest in meta-analytic methods for rare events and sparse data. Conventional approaches tend to perform very poorly in such settings. Recent work in this area…
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Keywords:
meta;
rare events;
approach heterogeneous;
based approach ... See more keywords
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Published in 2021 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2021.957
Abstract: Abstract This text presents one of the first successful applications of a rare events sampling method for the study of multistability in a turbulent flow without stochastic energy injection. The trajectories of collapse of turbulence…
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Keywords:
system;
transitional wall;
turbulence;
streamwise ... See more keywords
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Published in 2020 at "ACS Omega"
DOI: 10.1021/acsomega.0c03892
Abstract: Here, we introduce the open-source software framework wepy (https://github.com/ADicksonLab/wepy) which is a toolkit for running and analyzing weighted ensemble (WE) simulations. The wepy toolkit is in pure Python and as such is highly portable and…
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Keywords:
wepy;
software framework;
simulating rare;
weighted ensemble ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59187-w
Abstract: The prediction and control of rare events is an important task in disciplines that range from physics and biology, to economics and social science. The Big Jump principle deals with a peculiar aspect of the…
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Keywords:
big jump;
jump principle;
rare events;
generalized walks ... See more keywords
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Published in 2019 at "Chaos"
DOI: 10.1063/1.5082640
Abstract: Rare events in nonlinear dynamical systems are difficult to sample because of the sensitivity to perturbations of initial conditions and of complex landscapes in phase space. Here, we discuss strategies to control these difficulties and…
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Keywords:
taming chaos;
chaos taming;
chaos sample;
rare events ... See more keywords
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Published in 2019 at "Chaos"
DOI: 10.1063/1.5091669
Abstract: Interacting particle systems with many degrees of freedom may undergo phase transitions to sustain atypical fluctuations of dynamical observables such as the current or the activity. In some cases, this leads to symmetry-broken space-time trajectories…
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Keywords:
phase;
events across;
phase transitions;
sampling rare ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1217022
Abstract: ABSTRACT We present a new inverse sampling design for surveys of rare events, Gap-Based Inverse Sampling. In the design, sampling stops if after a predetermined interval, or gap, no new rare events are found. The…
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Keywords:
gap;
rare events;
based inverse;
gap based ... See more keywords
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Published in 2017 at "Nonlinearity"
DOI: 10.1088/1361-6544/aa64e8
Abstract: We show that a uniformly continuous random perturbation of a transitive map defines an aperiodic Harris chain which also satisfies Doeblin's condition. As a result, we get exponential decay of correlations for suitable random perturbations…
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Keywords:
events transitive;
transitive random;
correlations laws;
rare events ... See more keywords
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Published in 2017 at "Physical biology"
DOI: 10.1088/1478-3975/aa6d89
Abstract: The intrinsic stochasticity of gene expression can give rise to large fluctuations and rare events that drive phenotypic variation in a population of genetically identical cells. Characterizing the fluctuations that give rise to such rare…
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Keywords:
gene expression;
give rise;
rare events;
gene ... See more keywords
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Published in 2018 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbw107
Abstract: When building classifiers, it is natural to require that the classifier correctly estimates the event probability (Constraint 1), that it has equal sensitivity and specificity (Constraint 2) or that it has equal positive and negative…
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Keywords:
classifying rare;
expect classifying;
rare events;
constraint ... See more keywords