Inference for semiparametric Gaussian copula model adjusted for linear regression using residual ranks
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Publication:2203624
DOI10.3150/20-BEJ1208zbMath1460.62077OpenAlexW3080979636MaRDI QIDQ2203624
Yue Zhao, Ingrid Van Keilegom, Irène Gijbels
Publication date: 7 October 2020
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bj/1598493632
semiparametric efficiencyGaussian copulaSpearman's rho\(U\)-processnormal scores rank correlation estimatorresidual rank
Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
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- Semiparametric Gaussian copula models: geometry and efficient rank-based estimation
- Weak convergence of the empirical copula process with respect to weighted metrics
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- An introduction to copulas.
- On adaptive estimation
- Asymptotic normality of nonparametric tests for independence
- Efficient estimation in the bivariate normal copula model: Normal margins are least favourable
- Weighted empirical processes in dynamic nonlinear models.
- On residual empirical processes of stochastic regression models with applications to time series
- Weak convergence of the empirical process of residuals in linear models with many parameters
- High-dimensional semiparametric Gaussian copula graphical models
- Gaussian copula marginal regression
- Semiparametrically efficient estimation of constrained Euclidean parameters
- A copula approach for dependence modeling in multivariate nonparametric time series
- Information bounds for Gaussian copulas
- Non-parametric Estimation of the Residual Distribution
- Ordinal Measures of Association
- Least Median of Squares Regression
- Estimation of a Copula when a Covariate Affects only Marginal Distributions
- Simulation and the Asymptotics of Optimization Estimators
- Joint Regression Analysis of Correlated Data Using Gaussian Copulas
- Asymptotic Statistics
- High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference
- Multivariate extremes, aggregation and dependence in elliptical distributions
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Preadjusted Non-Parametric Estimation of a Conditional Distribution Function
- Efficient estimation in the semiparametric normal regression-copula model with a focus on QTL mapping
- Efficient Estimation of Semiparametric Multivariate Copula Models