Latent variable models

Dr. Haziq Jamil Delivers International Guest Lecture at UIN Mataram

1 min read · Tue, Apr 28 2026

R-INLA Item Response Theory Latent variable models latent Gaussian models

Our research group continues to expand its global footprint and strengthen international academic ties. Dr. Haziq Jamil, a Research Specialist in the BAYESCOMP team at KAUST, was invited to deliver an online international guest lecture at the Universitas Islam Negeri (UIN) Mataram in Indonesia.

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.