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 | 175 | 2013 |
Nonparametric mixture of regression models M Huang, R Li, S Wang Journal of the American Statistical Association 108 (503), 929-941, 2013 | 107 | 2013 |
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 | 91 | 2012 |
Semiparametric quantile regression with high-dimensional covariates L Zhu, M Huang, R Li Statistica Sinica 22 (4), 1379, 2012 | 49 | 2012 |
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 | 24 | 2014 |
Sure independence screening adjusted for confounding covariates with ultrahigh dimensional data C Wen, W Pan, M Huang, X Wang Statistica Sinica, 293-317, 2018 | 23 | 2018 |
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 | 23 | 2014 |
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 | 14 | 2018 |
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 | 12 | 2016 |
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 | 8 | 2019 |
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 | 8 | 2018 |
General directional regression Z Yu, Y Dong, M Huang Journal of Multivariate Analysis 124, 94-104, 2014 | 8 | 2014 |
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 | 7 | 2018 |
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 | 4 | 2018 |
Nonparametric techniques in finite mixture of regression models M Huang The Pennsylvania State University, 2009 | 3 | 2009 |
Statistical inference for normal mixtures with unknown number of components M Huang, S Tang, W Yao Electronic Journal of Statistics 16 (2), 5149-5181, 2022 | 2 | 2022 |
A new procedure for resampled portfolio with shrinkaged covariance matrix M Huang, S Yu Journal of Applied Statistics 47 (4), 642-652, 2020 | 2 | 2020 |
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm B Kai, M Huang, W Yao, Y Dong Journal of Computational and Graphical Statistics 32 (4), 1613-1623, 2023 | | 2023 |
Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach M Huang, Y Huang, W Yao Science China Mathematics 66 (3), 601-626, 2023 | | 2023 |
Regularized Factor Portfolio for Cross-sectional Multifactor Models M Huang, S Yu, W Yao Sankhya A 84 (2), 427-449, 2022 | | 2022 |