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20132026
most citedAdaptive estimation of the copula correlation matrix for semiparametric elliptical copulas

31 citations · 38 across the 5 of their papers we have counts for

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5 papers

stat.CO2026

Fast Computational Methods for Regularized Estimating Equations

Weihua Shi, Yixuan Li, Yi Lian +2

Estimating equations arise in a wide range of statistical applications, including longitudinal and clustered data analysis, survival analysis, econometrics, and semiparametric infe…

stat.ME2021★ 1 cited

A Unified Framework for Regularized Estimating Equations via Fixed-Point and Variational Inequality Problems

Archer Y. Yang, Yue Zhao, Yi Lian +2

Many statistics problems are formulated within an estimating equation framework instead of a minimization framework. However, the regularized estimating equations (REE) have been m…

math.ST2014★ 2 cited

Semiparametric Gaussian copula classification

Yue Zhao, Marten Wegkamp

This paper studies the binary classification of two distributions with the same Gaussian copula in high dimensions. Under this semiparametric Gaussian copula setting, we derive an…

math.ST2014★ 4 cited

Weak convergence of empirical copula processes indexed by functions

Dragan Radulovic, Marten Wegkamp, Yue Zhao

Weak convergence of the empirical copula process indexed by a class of functions is established. Two scenarios are considered in which either some smoothness of these functions or…

stat.ML2013★ 31 cited

Adaptive estimation of the copula correlation matrix for semiparametric elliptical copulas

Marten Wegkamp, Yue Zhao

We study the adaptive estimation of copula correlation matrix for the semi-parametric elliptical copula model. In this context, the correlations are connected to Kendall's tau…