About
- Department: School of Statistics
- Gender: male
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WorkExperience
2021.10 till now, Assistant Professor, School of Statistics, East China Normal University
2019.7-2021.7, Department of Statistics, London School of Economics and Political Science, Research Officer, Co-Instructor: Prof. Fiona Steele, Prof. Jouni Kuha
Education
2014.09-2019.06, Fudan University, Shanghai Center for Mathematics, Ph.D. Supervisor: Professor Ying Zhiliang 2016.08-2018.08, Columbia University, Department of Statistics, Joint Training Ph.D.
Resume
Assistant Professor of the School of Statistics, East China Normal University, post-doctorate in the Department of Statistics of the London School of Economics and Political Science (LSE), Ph.D. jointly cultivated by the Shanghai Center for Mathematics of Fudan University and the Department of Statistics of Columbia University. My main research directions are large-scale project response theory, latent variable models and statistical calculations, and statistical machine learning. Reviewer of: Psychometrika, Statistics and Computing, Structural Equation Modeling: A Multidisciplinary Journal.
Research Fields
Large-Scale Item Response Theory Latent Variable Modeling and Statistical Computing Statistical Machine Learning
Course
Convex Optimization Structure Equation Model
Scientific
Shanghai 2022 "Science and Technology Innovation Action Plan" Star Cultivation (Yangfan Special)
Academic Achievements
Accepted or published:
- Zhang, S.*, Chen, J., Ying, Z., Zhang, H. (2024+). Adjusting for non-confounding covariates in case-control association studies.Statistica Sinica, accepted. - Steele, F., Zhang, S.*, Grundy, E., & Burchardt, T. (2023+). Longitudinal analysis of exchanges of support between parents and children in the UK. Journal of the Royal Statistical Society Series A: Statistics in Society, accepted. - Kuha, J., Zhang, S., & Steele, F. (2023). Latent Variable Models for Multivariate Dyadic Data with Zero Inflation: Analysis of Intergenerational Exchanges of Family Support. The Annals of Applied Statistics, 17(2), 1521-1542. - Zhang, S., Chen, Y. (2022). Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework. Psychometrika, 87(4), 1473-1502. - Chen, Y., Moustaki, I., & Zhang, S. (2022). On the Estimation of structural Equation Models with Latent Variables. Handbook of Structural Equation Modeling, 145. - Zhang, S., Chen, Y., & Liu, Y. (2020). An Improved Stochastic EM Algorithm for Large-Scale Full-Information Item Factor Analysis. British Journal of Mathematical and Statistical Psychology, 73, 44–71, lvmcomp R package. - Chen, Y., Li, X., & Zhang, S. (2019). Structured Latent Factor Analysis for Large- scale Data: Identifiability, Estimability, and Their Implications. Journal of the American Statistical Association, 1–15, mirtjml R package.
- Chen, Y., & Zhang, S. (2020). A Latent Gaussian process model for analysing intensive longitudinal data. British Journal of Mathematical and Statistical Psychology, 73, 237–260.
- Chen, Y., Li, X., & Zhang, S. (2019). Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis. Psychometrika, 84, 124–146.
Honor
2019 Outstanding Graduate of Fudan University 2020 Fudan University Excellent Doctoral Dissertation 2021 LSE Class Teacher Award
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