output
19992026
most citedSparsistency and rates of convergence in large covariance matrix estimation

421 citations

Showing 2023 · stat.MEShow all

5 papers · 2 filters

stat.ME2023★ 4 cited

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.…

stat.ME2023★ 1 cited

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…

stat.ME2023★ 4 cited

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…

stat.ME2023★ 10 cited

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…

stat.ME2023★ 27 cited

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…