Mian Huang
Mian Huang
Verified email at mail.shufe.edu.cn
Title
Cited by
Cited by
Year
Robust variable selection with exponential squared loss
X Wang, Y Jiang, M Huang, H Zhang
Journal of the American Statistical Association 108 (502), 632-643, 2013
1062013
Nonparametric mixture of regression models
M Huang, R Li, S Wang
Journal of the American Statistical Association 108 (503), 929-941, 2013
822013
Mixture of regression models with varying mixing proportions: a semiparametric approach
M Huang, W Yao
Journal of the American Statistical Association 107 (498), 711-724, 2012
642012
Semiparametric quantile regression with high-dimensional covariates
L Zhu, M Huang, R Li
Statistica Sinica 22 (4), 1379, 2012
402012
Estimating mixture of Gaussian processes by kernel smoothing
M Huang, R Li, H Wang, W Yao
Journal of Business & Economic Statistics 32 (2), 259-270, 2014
182014
A note on the identifiability of nonparametric and semiparametric mixtures of GLMs
S Wang, W Yao, M Huang
Statistics & Probability Letters 93, 41-45, 2014
152014
Sure independence screening adjusted for confounding covariates with ultrahigh dimensional data
C Wen, W Pan, M Huang, X Wang
Statistica Sinica, 293-317, 2018
122018
Mixture of functional linear models and its application to CO2-GDP functional data
S Wang, M Huang, X Wu, W Yao
Computational Statistics & Data Analysis 97, 1-15, 2016
102016
General directional regression
Z Yu, Y Dong, M Huang
Journal of Multivariate Analysis 124, 94-104, 2014
72014
Statistical inference and applications of mixture of varying coefficient models
M Huang, W Yao, S Wang, Y Chen
Scandinavian Journal of Statistics 45 (3), 618-643, 2018
62018
Estimation and testing nonhomogeneity of hidden Markov model with application in financial time series
M Huang, Y Huang, K He
Statistics and Its Interface 12 (2), 215-225, 2019
32019
Semiparametric hidden Markov model with non-parametric regression
M Huang, Q Ji, W Yao
Communications in Statistics-Theory and Methods 47 (21), 5196-5204, 2018
32018
Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities
M Huang, S Wang, H Wang, T Jin
Statistics and Its Interface 11 (1), 31-40, 2018
32018
Nonparametric techniques in finite mixture of regression models
M Huang
The Pennsylvania State University, 2009
32009
Mapping morphological shape as a high-dimensional functional curve
G Fu, M Huang, W Bo, H Hao, R Wu
Briefings in bioinformatics 19 (3), 461-471, 2018
22018
A new procedure for resampled portfolio with shrinkaged covariance matrix
M Huang, S Yu
Journal of Applied Statistics 47 (4), 642-652, 2020
2020
Regularized Factor Portfolio for Cross-sectional Multifactor Models
M Huang, S Yu, W Yao
Sankhya A: The Indian Journal of Statistics, 1-23, 2020
2020
Regression estimation via information-weighted composite models with different dimensions
M Huang, K He, W Yao
Communications in Statistics-Simulation and Computation, 1-9, 2019
2019
Enterprise Server Technologies
PW Discontinued
2010
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Articles 1–19