Results 51 to 60 of about 148 (142)
Inference in multivariate Archimedean copula models
Archimedean copula, Consistency, Frailty, Kendall distribution, Probability integral transform, Radial distribution, Simplex distribution, Weak convergence, 62G05, 62G20, 62H12, 62H20,
Johanna Nešlehová +2 more
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Nonparametric empirical Bayes estimation of the matrix parameter of the Wishart distribution
, 1999 We consider independent pairs (X-1, Sigma(1)), (X-2, Sigma(2)), ..., (X-n, Sigma(n)), where each Sigma(i) is distributed according to some unknown density function g(Sigma) and, given Sigma(i) = Sigma, X-i has conditional density function q(x\Sigma) of ...
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Regularization, linear regression, nonparametric regression, boosting, covariance matrix, principal component, bootstrap, subsampling, model selection, Primary 62G08, 62H12, Secondary 62F12, 62G20, 62H25,
Peter Bickel +8 more
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Bayesian and Frequentist Two-Sample Predictions of the Inverse Weibull Model Based on Generalized Order Statistics [PDF]
, 2011 2000 Mathematics Subject Classification: 62E16,62F15, 62H12, 62M20.This paper is concerned with the problem of deriving Bayesian prediction bounds for the future observations (two-sample prediction) from the inverse Weibull distribution based on ...
Abd Ellah, A. H.
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A stationary Weibull process and its applications. [PDF]
J Appl Stat, 2023 Kundu D.
europepmc +1 more source
LIC criterion for optimal subset selection in distributed interval estimation. [PDF]
J Appl Stat, 2023 Guo G, Sun Y, Qian G, Wang Q.
europepmc +1 more source
Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. [PDF]
Can J Stat, 2022 Zhu H, Li Y, Liu B, Yao W, Zhang R.
europepmc +1 more source
Superefficient Estimation of Multivariate Trend
, 1998 . The question of recovering a multiband signal from noisy observations motivates a model in which the multivariate data points consist of an unknown deterministic trend \Xi observed with multivariate Gaussian errors.
Beran, Rudolf, Rudolf Beran
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Biwhitening Reveals the Rank of a Count Matrix. [PDF]
SIAM J Math Data Sci, 2022 Landa B, Zhang TTCK, Kluger Y.
europepmc +1 more source
On exact confidence intervals for the common mean of several normal populations
, 1999 In this paper we consider the problem of constructing exact confidence intervals for the common mean of several normal populations with unknown and possibly unequal variances.
Yu, PLH, Sinha, BK, Sun, Y
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