LSE creators

Number of items: 8.
Article
  • Zhang, Siliang, Kuha, Jouni, Steele, Fiona (2024). Modelling correlation matrices in multivariate data, with application to reciprocity and complementarity of child-parent exchanges of support. Annals of Applied Statistics, 18(4), 3024 - 3049. https://doi.org/10.1214/24-AOAS1921 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao (2024). A note on Ising network analysis with missing data. Psychometrika, 89(4), 1186 - 1202. https://doi.org/10.1007/s11336-024-09985-2 picture_as_pdf
  • Steele, Fiona, Zhang, Siliang, Grundy, Emily, Burchardt, Tania (2024). Longitudinal analysis of exchanges of support between parents and children in the UK. Journal of the Royal Statistical Society. Series A: Statistics in Society, 187(2), 279 - 304. https://doi.org/10.1093/jrsssa/qnad110 picture_as_pdf
  • Kuha, Jouni, Zhang, Siliang, Steele, Fiona (2023). Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support. Annals of Applied Statistics, 17(2), 1521 - 1542. https://doi.org/10.1214/22-AOAS1680 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao (2022). Computation for latent variable model estimation: a unified stochastic proximal framework. Psychometrika, 87(4), 1473 - 1502. https://doi.org/10.1007/s11336-022-09863-9 picture_as_pdf
  • Burchardt, Tania, Steele, Fiona, Grundy, Emily, Karagiannaki, Eleni, Kuha, Jouni, Moustaki, Irini, Skinner, Chris, Zhang, Nina, Zhang, Siliang (2021). Welfare within families beyond households: intergenerational exchanges of practical and financial support in the UK. LSE Public Policy Review, 2(1). https://doi.org/10.31389/lseppr.41 picture_as_pdf
  • Chen, Yunxiao, Zhang, Siliang (2020). A latent Gaussian process model for analysing intensive longitudinal data. British Journal of Mathematical and Statistical Psychology, 73(2), 237 - 260. https://doi.org/10.1111/bmsp.12180 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Zhang, Siliang (2019). Structured latent factor analysis for large-scale data: identifiability, estimability, and their implications. Journal of the American Statistical Association, 115(532), 1756-1770. https://doi.org/10.1080/01621459.2019.1635485 picture_as_pdf