Haziq Jamil
Haziq Jamil
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Latent variable models
Implementation and Workflows for INLA-based Approximate Bayesian Structural Equation Modelling
Bayesian structural equation modelling (BSEM) offers many advantages such as principled uncertainty quantification, small-sample …
Haziq Jamil
,
Håvard Rue
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DOI
Approximate Bayesian Inference for Structural Equation Models Using Integrated Nested Laplace Approximations
Markov chain Monte Carlo (MCMC) methods remain the mainstay of Bayesian estimation of structural equation models (SEM); however they …
Haziq Jamil
,
Håvard Rue
Preprint
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DOI
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
Bias-Reducing 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 …
Haziq Jamil
,
Yves Rosseel
,
Oliver Kemp
,
Ioannis Kosmidis
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Weighted pairwise likelihood goodness-of-fit tests for binary factor models
Limited information goodness-of-fit (LIGOF) tests are increasingly recognized for their application in high-dimensional multivariate …
18 Oct 2024 3:00 PM — 4:00 PM
Department of Statistics and Data Science, NUS, Singapore
Haziq Jamil
Slides
Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling
This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise …
Haziq Jamil
,
Irini Moustaki
,
Chris Skinner
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Item Response Theory (IRT) models: Reducing bias in small samples
In this talk, we will explore the concept of Item Response Theory (IRT), a powerful method used to understand how different test items …
4 Sep 2024 2:00 PM — 3:00 PM
Universiti Brunei Darussalam
Haziq Jamil
Slides
Empiral bias-reducing adjustments for Item Response Theory (IRT) models
In the field of psychometrics, the accuracy and reliability of measurement tools are paramount, particularly when employing Item …
19 Jul 2024 11:30 AM — 11:45 AM
Vysoká škola ekonomická v Praze
Haziq Jamil
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