Weixing Song, Ph.D.
Affiliations: | Kansas State University, Manhattan, KS, United States | ||
| 2006 | Michigan State University, East Lansing, MI |
Area:
StatisticsWebsite:
https://www.k-state.edu/stats/people/song.htmlGoogle:
"Weixing Song"Parents
Sign in to add mentor| Hira L. Koul | grad student | 2006 | Michigan State | |
| (Minimum distance measurement errors model fitting.) | ||||
Children
Sign in to add trainee| Balasubramaniam Natarajan | grad student | 2018 | Kansas State University (E-Tree) |
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Publications
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| Shi J, Zhang Y, Yu P, et al. (2021) SIMEX estimation in parametric modal regression with measurement error Computational Statistics & Data Analysis. 157: 107158 |
| Shi J, Zhang J, Wang X, et al. (2020) Modal non‐linear regression in the presence of Laplace measurement error Australian & New Zealand Journal of Statistics. 62: 232-248 |
| Natarajan B, Song W. (2020) Adaptive nonparametric regression on finite support Communications in Statistics-Theory and Methods. 1-21 |
| Shi J, Bai X, Song W. (2020) Nonparametric regression estimate with Berkson Laplace measurement error Statistics & Probability Letters. 166: 108864 |
| Shi J, Bai X, Song W. (2020) Partial deconvolution estimation in nonparametric regression Canadian Journal of Statistics-Revue Canadienne De Statistique. 48: 535-560 |
| BAI X, SONG W. (2019) Comparison study on the confidence intervals in linear regression models with restricted parameter space Journal of Statistical Research. 52: 115-127 |
| Koul HL, Song W, Zhu X. (2018) Goodness-of-fit testing of error distribution in linear measurement error models The Annals of Statistics. 46: 2479-2510 |
| Li X, Bai X, Song W. (2017) Robust mixture multivariate linear regression by multivariate Laplace distribution Statistics & Probability Letters. 130: 32-39 |
| Shi J, Yang Q, Li X, et al. (2017) Effects of measurement error on a class of single-index varying coefficient regression models Computational Statistics. 32: 977-1001 |
| Shi J, Song W. (2016) Sparse principal component analysis with measurement errors Journal of Statistical Planning and Inference. 175: 87-99 |