93 citations · 248 across the 30 of their papers we have counts for
11 papers · 1 filter
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
Fei Jiang, Yeqing Zhou, Jianxuan Liu +1
We study estimation and testing in the Poisson regression model with noisy high dimensional covariates, which has wide applications in analyzing noisy big data. Correcting for the…
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…
Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index
Fei Jiang, Yanyuan Ma, Yuanjia Wang
We propose a generalized partially linear functional single index risk score model for repeatedly measured outcomes where the index itself is a function of time. We fuse the nonpar…
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…
Optimal variance estimation without estimating the mean function
Tiejun Tong, Yanyuan Ma, Yuedong Wang
We study the least squares estimator in the residual variance estimation context. We show that the mean squared differences of paired observations are asymptotically normally distr…
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…
Variable selection in measurement error models
Yanyuan Ma, Runze Li
Measurement error data or errors-in-variable data have been collected in many studies. Natural criterion functions are often unavailable for general functional measurement error mo…
Testing the suitability of polynomial models in errors-in-variables problems
Peter Hall, Yanyuan Ma
A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate. In this paper we suggest…