Latent variable models

BAYESCOMP Group Secures CRG Funding to Revolutionize Latent Variable Modeling

2 min read · Tue, Mar 10 2026

award CRG Bayesian and computational Statistics Latent variable models Structural equation models Item Response Theory Confirmatory factor analysis

The KAUST Bayesian Computational Statistics and Modeling (BAYESCOMP) Research Group is pleased to announce the award of a 2025 Competitive Research Grant (CRG) for the project: "Advancing scalable Bayesian methods for latent variable modelling." The project is funded at USD $900,000 for 36 months, with the research program officially commencing in April 2026.

Haziq Jamil

Research Specialist, Statistics

Statistical methodology Bayesian computational statistics Latent variable models Structural equation models Item Response Theory

Haziq Jamil is a Research Specialist at the King Abdullah University of Science and Technology. His research focuses on statistical theory, methods and computation, with a special inclination towards social science applications.

Xiang Ye

Ph.D. Student, Statistics

Latent variable models

Xiang Ye is a Ph.D. student In Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Håvard Rue in his research group.