Xinyuan Song
Xinyuan Song (Chinese: 宋心遠) is a Chinese statistician known for her research on structural equation modeling and latent variables in Bayesian statistics. With Sik-Yum Lee, she is a coauthor of the book Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences (Wiley, 2012).[1]
Song has a bachelor's degree from Xiangtan University, a master's degree from Sun Yat-sen University, and a PhD from the Chinese University of Hong Kong,[2] where she is a professor.[3] Her 2001 doctoral dissertation, Bayesian Analysis for Complex Structural Equation Models, was supervised by Sik-Yum Lee.[4]
Song was named as an Elected Member of the International Statistical Institute in 2023,[5] and as a Fellow of the Institute of Mathematical Statistics in 2024.[6] She is the 2024 recipient of the President's Citation Award of the International Chinese Statistical Association.[2]
References
[edit]- ^ Reviews of Basic and Advanced Bayesian Structural Equation Modeling:
- Alex V. Kolnogorov, Zbl 1282.62056
- Kees van Montfort & Johan Oud, Psychometrika, doi:10.1007/s11336-014-9423-z
- ^ a b "SONG, Xin Yuan 宋心遠", Department of Statistics, Chinese University of Hong Kong, 3 December 2020, retrieved 2024-09-05
- ^ "Faculty", Department of Statistics, Chinese University of Hong Kong, 30 April 2021, retrieved 2024-09-05
- ^ Xinyuan Song at the Mathematics Genealogy Project
- ^ 2023 First Round Newly Elected Members, International Statistical Institute, 21 March 2023, retrieved 2024-09-05
- ^ 2024 IMS Fellows Announced, Institute of Mathematical Statistics, 17 May 2024, retrieved 2024-09-05
External links
[edit]- Xinyuan Song publications indexed by Google Scholar
| International | |
|---|---|
| National | |
| Academics | |
- Living people
- Chinese statisticians
- Chinese women statisticians
- Xiangtan University alumni
- Sun Yat-sen University alumni
- Alumni of the Chinese University of Hong Kong
- Academic staff of the Chinese University of Hong Kong
- Elected Members of the International Statistical Institute
- Fellows of the Institute of Mathematical Statistics