421 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB63 papers
- Systemic Risk CentreGB48 papers
- University of OxfordGB20 papers
- University of WarwickGB18 papers
- King's College LondonGB16 papers
- London Mathematical LaboratoryGB12 papers
- University of Illinois Urbana-ChampaignUS12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Queen Mary University of LondonGB11 papers
- The Open UniversityGB11 papers
- City, University of LondonGB10 papers
- ETH ZurichCH10 papers
5 papers · 2 filters
Pairwise likelihood estimation and limited information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling
Haziq Jamil, Irini Moustaki, Chris Skinner
This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights.…
When Composite Likelihood Meets Stochastic Approximation
Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen +1
A composite likelihood is an inference function derived by multiplying a set of likelihood components. This approach provides a flexible framework for drawing inference when the li…
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…
DIF Analysis with Unknown Groups and Anchor Items
Gabriel Wallin, Yunxiao Chen, Irini Moustaki
Ensuring fairness in instruments like survey questionnaires or educational tests is crucial. One way to address this is by a Differential Item Functioning (DIF) analysis, which exa…
A two-step estimator for multilevel latent class analysis with covariates
Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser +1
We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in its first step, and in the seco…