Results 251 to 260 of about 319,252 (292)

Predictability of In-Office SureSmile<sup>®</sup> Clear Aligners: A Retrospective Analysis of Anterior Tooth Movements. [PDF]

open access: yesDent J (Basel)
Georgi GM   +7 more
europepmc   +1 more source

Moderate deviations for M-estimators [PDF]

open access: yesTest, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MIGUEL A Arcones
exaly   +4 more sources

Moderate deviations in cycle count

open access: yesRandom Structures and Algorithms, 2023
AbstractWe prove moderate deviations bounds for the lower tail of the number of odd cycles in a random graph. We show that the probability of decreasing triangle density by , is whenever . These complement results of Goldschmidt, Griffiths, and Scott, who showed that for , the probability is .
Joe Neeman   +2 more
exaly   +3 more sources

Results on Probabilities of Moderate Deviations

open access: yesAnnals of Probability, 1974
The convergence rate problem for probabilities of moderate deviations is completely solved by giving a necessary and sufficient condition for the existence of the absolute moment of order $c^2 + 2, c > 0$, in terms of probabilities of moderate deviations.
exaly   +3 more sources
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On Probabilities of Moderate Deviations

Journal of Mathematical Sciences, 2002
The author investigates the asymptotic behaviour of the distribution of a sum of independent random variables in zones of moderate deviations. Sufficient conditions are presented, in terms of moments, for the normal convergence in these zones. The author uses a generalization of the Esseen inequality for the remainder term in the central limit theorem.
openaire   +2 more sources

Moderate Deviations for Bayes Posteriors

Scandinavian Journal of Statistics, 2002
Let (Xk)k∈ be a sequence of i.i.d. random variables taking values in a set ω, and consider the problem of estimating the law of X1 in a Bayesian framework. We prove, under mild conditions on the prior, that the sequence of posterior distributions satisfies a moderate deviation principle.
Eichelsbacher, P, Ganesh, AJ
openaire   +3 more sources

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