93 citations · 124 across the 14 of their papers we have counts for
7 papers · 1 filter
Efficient computational algorithms for approximate optimal designs
Jiangtao Duan, Wei Gao, Yanyuan Ma +1
In this paper, we propose two simple yet efficient computational algorithms to obtain approximate optimal designs for multi-dimensional linear regression on a large variety of desi…
Semiparametric regression of mean residual life with censoring and covariate dimension reduction
Ge Zhao, Yanyuan Ma, Huazhen Lin +1
We propose a new class of semiparametric regression models of mean residual life for censored outcome data. The models, which enable us to estimate the expected remaining survival…
A spline-assisted semiparametric approach to non-parametric measurement error models
Fei Jiang, Yanyuan Ma, Raymond J. Carroll
It is well known that the minimax rates of convergence of nonparametric density and regression function estimation of a random variable measured with error is much slower than the…
Efficient Estimation for Dimension Reduction with Censored Data
Ge Zhao, Yanyuan Ma, Wenbin Lu
We propose a general index model for survival data, which generalizes many commonly used semiparametric survival models and belongs to the framework of dimension reduction. Using a…
Functional Inverse Regression in an Enlarged Dimension Reduction Space
Ting-Li Chen, Su-Yun Huang, Yanyuan Ma +1
We consider an enlarged dimension reduction space in functional inverse regression. Our operator and functional analysis based approach facilitates a compact and rigorous formulati…
Efficient estimation in sufficient dimension reduction
Yanyuan Ma, Liping Zhu
We develop an efficient estimation procedure for identifying and estimating the central subspace. Using a new way of parameterization, we convert the problem of identifying the cen…