Results 31 to 40 of about 129,468 (185)
Asymptotic distributions for a class of generalized $L$-statistics
We adapt the techniques in Stigler [Ann. Statist. 1 (1973) 472--477] to obtain a new, general asymptotic result for trimmed $U$-statistics via the generalized $L$-statistic representation introduced by Serfling [Ann. Statist. 12 (1984) 76--86].
Borovskikh, Yuri V., Weber, N. C.
core +1 more source
Radially truncated galactic discs [PDF]
We present the first results of a systematic analysis of radially truncated exponential discs for four galaxies of a complete sample of disc-dominated edge-on spiral galaxies. The discs of our sample galaxies are truncated at similar radii on either side
Abe +48 more
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Superpixel-level CFAR Ship Detection Based on Polarimetric Bilateral Truncated Statistics
Constant false alarm rate (CFAR) detector is a common method for ship detection in polarimetric synthetic aperture radar (PolSAR) images. CFAR detectors greatly depend on the clutter modeling that can be easily affected by the contamination caused by ...
Wenxing Mu, Ning Wang, Lu Fang, Tao Liu
doaj +1 more source
Gravitational Wave Emission from a Bounded Source: the Nonlinear Regime
We study the dynamics of a bounded gravitational collapsing configuration emitting gravitational waves, where the exterior spacetime is described by Robinson-Trautman geometries.
A. Z. Petrov +25 more
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Functional Lagged Regression with Sparse Noisy Observations
A functional (lagged) time series regression model involves the regression of scalar response time series on a time series of regressors that consists of a sequence of random functions.
Panaretos, Victor M., Rubín, Tomáš
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Linear Estimation of Location and Scale Parameters Using Partial Maxima
Consider an i.i.d. sample X^*_1,X^*_2,...,X^*_n from a location-scale family, and assume that the only available observations consist of the partial maxima (or minima)sequence, X^*_{1:1},X^*_{2:2},...,X^*_{n:n}, where X^*_{j:j}=max{X^*_1,...,X^*_j}. This
A Prèkopa +33 more
core +1 more source
Adaptive truncation of infinite sums: applications to Statistics
It is often the case in Statistics that one needs to compute sums of infinite series, especially in marginalising over discrete latent variables. This has become more relevant with the popularization of gradient-based techniques (e.g. Hamiltonian Monte Carlo) in the Bayesian inference context, for which discrete latent variables are hard or impossible ...
Carvalho, Luiz Max +2 more
openaire +2 more sources
Eigenvalues of truncated unitary matrices: disk counting statistics
AbstractLet T be an $$n\times n$$ n × n truncation of an $$(n+\alpha )\times (n+\alpha )$$ ( n + α )
Yacin Ameur +2 more
openaire +3 more sources
A study of relative velocity statistics in Lagrangian perturbation theory with PINOCCHIO
Subject of this paper is a detailed analysis of the PINOCCHIO algorithm for studying the relative velocity statistics of merging haloes in Lagrangian perturbation theory.
Bardeen +27 more
core +1 more source
Confidence intervals for validation statistics with data truncation in genomic prediction
Background Validation by data truncation is a common practice in genetic evaluations because of the interest in predicting the genetic merit of a set of young selection candidates.
Matias Bermann +4 more
doaj +1 more source

