Results 11 to 20 of about 90,888 (192)
Rearranging Edgeworth-Cornish-Fisher expansions [PDF]
Economic Theory, 2009 17 pages, 3 ...
Chernozhukov, Victor +2 more
openaire +7 more sources
Signatures of the Anthropocene: Population Genomic Structure Detected in Pennsylvania Coyotes. [PDF]
Ecol EvolCoyotes rapidly expanded across eastern North America and are highly dispersive ecological generalists, leading prior studies to report little spatial genetic structure. Using genome‐wide data from 1199 coyotes sampled over a decade in the northeastern United States, we detected subtle but significant population structure, with two weakly clinal ...
Marshall CA +15 more
europepmc +2 more sources
Bayesian Estimation of the Binomial Parameter in Adaptive Designs With Treatment Selection. [PDF]
Stat MedABSTRACT It is well‐known that results from adaptive multi‐arm experiments with treatment selection are subject to the bias of the selection process. In this article, we consider designs with a binary outcome that begin with randomized parallel arms.
Bunouf P, Boher JM.
europepmc +2 more sources
Edgeworth expansions for network moments
The Annals of Statistics, 2022 Network method of moments arXiv:1202.5101 is an important tool for nonparametric network inference. However, there has been little investigation on accurate descriptions of the sampling distributions of network moment statistics. In this paper, we present the first higher-order accurate approximation to the sampling CDF of a studentized network moment ...
Yuan Zhang, Dong Xia
openaire +4 more sources
Second Order Expansions for High-Dimension Low-Sample-Size Data Statistics in Random Setting
Mathematics, 2020 We consider high-dimension low-sample-size data taken from the standard multivariate normal distribution under assumption that dimension is a random variable.
Gerd Christoph, Vladimir V. Ulyanov
doaj +1 more source
Asymptotic expansions for distribution of sums quasi-lattice random variables
Lietuvos Matematikos Rinkinys, 2011 Althoug Chebyshev [3] and Edeworth [5] had conceived of the formal expansions for distribution of sums of independent random variables, but only in Cramer’s work [4] was laid a proper foundation of this problem.
Algimantas Bikelis +2 more
doaj +1 more source
Edgeworth expansions for GEL estimators
Journal of Multivariate Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gubhinder Kundhi, Paul Rilstone
openaire +2 more sources
Edgeworth and Cornish Fisher expansions and confidence intervals for the distribution, density and
Statistica, 2013 We show that kernel density estimates of bandwidth h=h(n)→0 satisfy the Cornish-Fisher assumption with parameter m=nh. This allows Cornish-Fisher expansions about the normal for standardized and Studentized kernel density estimates.
Christopher S. Withers +1 more
doaj +1 more source
Inverting an Edgeworth Expansion
The Annals of Statistics, 1983 We provide a method for inverting a general Edgeworth expansion, so as to correct a statistic for the effects of non-normality. This technique is applied to the special case of the "Studentized" mean. Explicit formulae are given for the correction terms.
openaire +2 more sources
On the Validity of the Formal Edgeworth Expansion
The Annals of Statistics, 1978 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhattacharya, R. N., Ghosh, J. K.
openaire +2 more sources