Edgeworth expansions in small noise asymptotics
The paper considers Edgeworth expansions for estimators of volatility. Unlike the usual expansions, we have found that in order to obtain meaningful terms, one needs to let the size of the noise to go zero asymptotically.
Lan Zhang (5408513) +2 more
core +1 more source
Edgeworth expansions for lattice triangular arrays [PDF]
Edgeworth expansions have been introduced as a generalization of the central limit theorem and allow to investigate the convergence properties of sums of i.i.d. random variables.
Bock, Alona (M.Sc.)
core +1 more source
Edgeworth expansions for slow-fast systems with finite time-scale separation. [PDF]
Wouters J, Gottwald GA.
europepmc +1 more source
A Two-sample Nonparametric Test for Circular Data- its Exact Distribution and Performance. [PDF]
Jammalamadaka SR +2 more
europepmc +1 more source
A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology. [PDF]
Hejazi NS +3 more
europepmc +1 more source
Confidence Intervals for a Binomial Proportion And Edgeworth Expansions
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p\Sigmaz ff=2 n \Gamma1=2 (p(1\Gamma p)) 1=2 is currently in near universal use.
Edgeworth Expansions +3 more
core
Tilted Edgeworth expansions for asymptotically normal vectors
We obtain the Edgeworth expansion for P(n1/2(θ̂- θ) <x) and its derivatives, and the tilted Edgeworth (or saddlepoint or small sample) expansion for P(θ <x) and its derivatives where θ is any vector estimate having the standard cumulant expansions ...
Nadarajah, Saralees; id_orcid +1 more
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Acute Immune Signatures and Their Legacies in Severe Acute Respiratory Syndrome Coronavirus-2 Infected Cancer Patients. [PDF]
Abdul-Jawad S +50 more
europepmc +1 more source
Test for normality based on an Edgeworth expansion
Many statistical procedures require the assumption that the observations in a random sample are drawn from a normal distribution. Several statistical techniques, mostly based on either population moments or empirical distribution functions, are currently available to test whether the observations in a random sample are normally distributed.
K. P. Hapuarachchi +2 more
openaire +1 more source
Vision and Influence in Econometrics: John Denis Sargan [PDF]
Denis Sargan's intellectual influence in econometrics is discussed and some of his visions for the future of econometrics are considered in this memorial article.
Peter C.B. Phillips
core

