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Multisource Sensor Fusion and Large Language Model Integration for Explainable State Perception and Anomaly Awareness. [PDF]
Sensors (Basel)Zhou B +6 more
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From early to contemporary normative modeling: Mapping individual differences in neurophysiological signals. [PDF]
Imaging Neurosci (Camb)Mallus FA +7 more
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How accurate are Bayes factor-based null hypothesis tests? A simulation study. [PDF]
Behav Res MethodsSchad DJ, Modrák M.
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ASQ-3 developmental outcomes at six months in a Bulgarian infant cohort: a cross-cultural comparison with U.S. norms. [PDF]
Front PediatrItova T.
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On large deviation for extremes
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Drees, H +2 more
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Theory of Probability & Its Applications, 2000
The paper presents a new point of view on the Cramér type large deviations \[ P(\xi >x)=(1-\Phi (x))Q\exp(L) \] for the ``right tail'' of the distribution of a random variable \(\xi\). Here \(\Phi (x)\) is a standard normal distribution function, \(Q\) and \(L\) are some quantities depending on \(x\) and \(\xi\).
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The paper presents a new point of view on the Cramér type large deviations \[ P(\xi >x)=(1-\Phi (x))Q\exp(L) \] for the ``right tail'' of the distribution of a random variable \(\xi\). Here \(\Phi (x)\) is a standard normal distribution function, \(Q\) and \(L\) are some quantities depending on \(x\) and \(\xi\).
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On the Theory of Large Deviations
Theory of Probability & Its Applications, 1994Summary: The similarity of the ``large deviation principle, (DV1) and (DV2)'' and the ``weak convergence of probability measures'' was used by the author in the earlier paper [in: New trends in probability and statistics. Vol. 1, Proc. 23rd Bakuriani Colloq. in Honour of Yu. V.
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