Weixin Yao
University of California, Riverside
H-index: 23
North America-United States
Top articles of Weixin Yao
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Machine learning embedded EM algorithms for semiparametric mixture regression models | Computational Statistics | Jiacheng Xue Weixin Yao Sijia Xiang | 2024/3/31 |
An identity-verifiable quantum threshold group signature scheme based on three-particle GHZ states | Laser Physics | Zhiming Deng Dianjun Lu Teng Chen Weixin Yao | 2024/3/28 |
Exponentially Convergent Algorithms for Supervised Matrix Factorization | Advances in Neural Information Processing Systems | Joowon Lee Hanbaek Lyu Weixin Yao | 2024/2/13 |
Mixture Models: Parametric, Semiparametric, and New Directions | Weixin Yao Sijia Xiang | 2024/4/18 | |
A public-key quantum group blind signature scheme based on single-qubit rotations | Laser Physics Letters | Fuyao Tian Dianjun Lu Chengxiang Wang Weixin Yao | 2024/1/24 |
A multi-party verifiable quantum proxy signature scheme based on quantum teleportation | Journal of Applied Physics | Chengxiang Wang Dianjun Lu Fuyao Tian Weixin Yao | 2024/4/7 |
t distribution-based robust semiparametric mixture regression model | Communications in Statistics-Simulation and Computation | Yan Ge Sijia Xiang Weixin Yao | 2024/1/2 |
Quantum homomorphic aggregate signature based on quantum Fourier transform | Quantum Information Processing | Teng Chen Dian-Jun Lu Zhi-Ming Deng Wei-Xin Yao | 2024/4 |
Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach | Science China Mathematics | Mian Huang Yue Huang Weixin Yao | 2023/3 |
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions | Computational Statistics | Hongpeng Yuan Sijia Xiang Weixin Yao | 2023/11/18 |
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner | Journal of Applied Statistics | Mi Zhou Weixin Yao | 2023/2/17 |
Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm | Journal of Computational and Graphical Statistics | Bo Kai Mian Huang Weixin Yao Yuexiao Dong | 2023/10/2 |
Package ‘MixSemiRob’ | R package version 1.1.0 | Suyeon Kang Xin Shen Weixin Yao Sijia Xiang Yan Ge | 2023/9/20 |
Semiparametric partially linear varying coefficient modal regression | Journal of Econometrics | Aman Ullah Tao Wang Weixin Yao | 2023/8/1 |
Improving robustness of case-based reasoning for early-stage construction cost estimation | Automation in Construction | Xue Xiao Martin Skitmore Weixin Yao Yousuf Ali | 2023/7/1 |
Machine learning embedded semiparametric mixtures of regressions with covariate-varying mixing proportions | Econometrics and Statistics | Jiacheng Xue Weixin Yao | 2022/4/1 |
Regularized Factor Portfolio for Cross-sectional Multifactor Models | Sankhya A | Mian Huang Shangbing Yu Weixin Yao | 2022/8 |
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions | Canadian Journal of Statistics | Hanbing Zhu Yehua Li Baisen Liu Weixin Yao Riquan Zhang | 2022/3 |
Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers | Sijia Xiang Weixin Yao | 2022/7/8 | |
A new class of multivariate goodness of fit tests for multivariate normal mixtures | Communications in Statistics-Simulation and Computation | Supawadee Wichitchan Weixin Yao Chun Yu | 2022/11/2 |
Co-Authors
