Structural equation models

Approximate Bayesian Inference for Structural Equation Models
Markov chain Monte Carlo (MCMC) methods are, of course, the mainstay of Bayesian estimation of structural equation models (SEM). In …
5 Feb 2026 3:50 PM — 4:08 PM University of Padua, Italy
Haziq Jamil
Slides
Approximate Bayesian Inference for Structural Equation Models
Markov chain Monte Carlo (MCMC) methods remain the mainstay of Bayesian estimation of structural equation models (SEM); however they …
2 Feb 2026 12:30 PM — 2:00 PM Leverhulme Library, COL.6.15, LSE
Haziq Jamil
Slides
Bias-Reduced Estimation of Structural Equation Models
Finite-sample bias is a pervasive challenge in the estimation of structural equation models (SEMs), especially when sample sizes are …
16 Oct 2025 2:00 PM — 3:00 PM KAUST, Saudi Arabia
Haziq Jamil
Slides
A latent variable model for maximal performance testing with dropouts for military applications
Soldiers are expected to perform complex and demanding tasks during operations, often while carrying a heavy load. It is therefore …
19 Nov 2020 2:30 PM — 3:30 PM Lecture Room 2 (D2.8), Block D, Integrated Science Building, UBD
Haziq Jamil
A latent variable model for maximal performance testing with dropouts for military applications
Investigating the effect of load carriage on soldiers’ performances using structural equation models
Soldiers are required to perform tasks that call upon a complex combination of their physical and cognitive capabilities. For example, …
28 May 2020 1:00 PM — 2:00 PM Online
Haziq Jamil
Scoring individual abilities using multilevel latent variable models
To devise a suitable statistical model to produce scores for individuals’ abilities relevant in the field of fitness and sports.
Last updated on 5 Apr 2026