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Xinyuan Song

From Wikipedia, the free encyclopedia

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

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  1. ^ 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
  2. ^ a b "SONG, Xin Yuan 宋心遠", Department of Statistics, Chinese University of Hong Kong, 3 December 2020, retrieved 2024-09-05
  3. ^ "Faculty", Department of Statistics, Chinese University of Hong Kong, 30 April 2021, retrieved 2024-09-05
  4. ^ Xinyuan Song at the Mathematics Genealogy Project
  5. ^ 2023 First Round Newly Elected Members, International Statistical Institute, 21 March 2023, retrieved 2024-09-05
  6. ^ 2024 IMS Fellows Announced, Institute of Mathematical Statistics, 17 May 2024, retrieved 2024-09-05
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