Mian Huang

发表

Estimation for a Class of Semiparametric Pareto Mixture Densities

Hansheng Wang, Shaoli Wang, Mian Huang, 2020, Sankhya A.

Robust Variable Selection With Exponential Squared Loss

Heping Zhang, Xueqin Wang, Mian Huang, 2013, Journal of the American Statistical Association.

Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach

W. Yao, Mian Huang, 2012 .

Semiparametric hidden Markov model with non-parametric regression

W. Yao, Mian Huang, Qinghua Ji, 2018 .

3D Garment Segmentation Based on Semi-supervised Learning Method ⋆

Xiaodong Fu, Li Liu, Lijun Liu, 2016 .

Mixture of functional linear models and its application to CO2-GDP functional data

W. Yao, Mian Huang, Xing Wu, 2016, Comput. Stat. Data Anal..

Estimating Mixture of Gaussian Processes by Kernel Smoothing

Runze Li, W. Yao, Hansheng Wang, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

Estimation and testing nonhomogeneity of Hidden Markov model with application in ﬁnancial time series

Mian Huang, Yue-Lieh Huang, Kang He, 2019 .

Statistical inference for normal mixtures with unknown number of components

W. Yao, Mian Huang, Shiyi Tang, 2022, Electronic Journal of Statistics.

Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach

W. Yao, Mian Huang, Yue-Lieh Huang, 2022, Science China Mathematics.

A new procedure for resampled portfolio with shrinkaged covariance matrix

Mian Huang, Shangbing Yu, Mian Huang, 2019, Journal of applied statistics.

Regularized Factor Portfolio for Cross-sectional Multifactor Models

W. Yao, Mian Huang, Shangbing Yu, 2020, Sankhya A.

NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS

Mian Huang, Mian Huang, 2009 .

Statistical Inference and Applications of Mixture of Varying Coefficient Models

W. Yao, Shaoli Wang, Mian Huang, 2018 .

SEMIPARAMETRIC QUANTILE REGRESSION WITH HIGH-DIMENSIONAL COVARIATES.

Runze Li, Liping Zhu, Mian Huang, 2012, Statistica Sinica.

Mixture of functional linear models and its application to CO2-GDP functional data

Xing Wu, Shaoli Wang, Weixin Yao, 2016, Comput. Stat. Data Anal..

A note on the identifiability of nonparametric and semiparametric mixtures of GLMs

W. Yao, Shaoli Wang, Mian Huang, 2014 .

Estimating Mixture of Gaussian Processes by Kernel Smoothing

Hansheng Wang, Runze Li, Weixin Yao, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

A Note On the Identi(cid:12)ability of Nonparametric and Semiparametric Mixtures of GLMs

W. Yao, Shaoli Wang, Mian Huang, 2014 .

Regression estimation via information-weighted composite models with different dimensions

Weixin Yao, Mian Huang, Kang He, 2019, Commun. Stat. Simul. Comput..

Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh-dimensional Data

Xueqin Wang, Mian Huang, Wenliang Pan, 2017 .

Nonparametric Mixture of Regression Models

Runze Li, Mian Huang, Runze Li, 2013, Journal of the American Statistical Association.