Bayesian inference

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
Preprint Cite 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 Cite 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