1 citations · 1 across the 5 of their papers we have counts for
6 papers
A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
Siliang Zhang, Yunxiao Chen, Jouni Kuha
This paper proposes a general multiple imputation approach for analyzing large-scale data with missing values. An imputation model is derived from a joint distribution induced by a…
A Note on Ising Network Analysis with Missing Data
Siliang Zhang, Yunxiao Chen
The Ising model has become a popular psychometric model for analyzing item response data. The statistical inference of the Ising model is typically carried out via a pseudo-likelih…
Longitudinal analysis of exchanges of support between parents and children in the UK
Fiona Steele, Siliang Zhang, Emily Grundy +1
We consider how exchanges of support between parents and adult children vary by demographic and socio-economic characteristics and examine evidence for reciprocity in transfers and…
Modelling Correlation Matrices in Multivariate Dyadic Data: Latent Variable Models for Intergenerational Exchanges of Family Support
Siliang Zhang, Jouni Kuha, Fiona Steele
We define a model for the joint distribution of multiple continuous latent variables which includes a model for how their correlations depend on explanatory variables. This is moti…
Estimation Methods for Item Factor Analysis: An Overview
Yunxiao Chen, Siliang Zhang
Item factor analysis (IFA) refers to the factor models and statistical inference procedures for analyzing multivariate categorical data. IFA techniques are commonly used in social…
A Latent Gaussian Process Model for Analyzing Intensive Longitudinal Data
Yunxiao Chen, Siliang Zhang
Intensive longitudinal studies are becoming progressively more prevalent across many social science areas, especially in psychology. New technologies like smart-phones, fitness tra…