4 citations · 6 across the 8 of their papers we have counts for
8 papers
Deterministic Leave-One-Cluster-Out Cross-Validation for Multilevel Bayesian Structural Equation Models
Mohammad Alhyari, Haziq Jamil, Hans Montcho +1
We introduce a closed-form, refit-free procedure for leave-one-cluster-out (LOCO) cross-validation in multilevel Gaussian Bayesian structural equation models (SEMs), together with…
Informative Distance-Based Priors for Correlation Matrices Centred on a Target Reference
Anna Freni-Sterrantino, Janet van Niekerk, Elias Teixeira Krainski +3
Specifying a prior over the space of correlation matrices is a persistent challenge in Bayesian analysis. The space is a curved manifold whose dimension grows quadratically with th…
Implementation and Workflows for INLA-Based Approximate Bayesian Structural Equation Modelling
Haziq Jamil, Håvard Rue
Bayesian structural equation modelling (BSEM) offers many advantages such as principled uncertainty quantification, small-sample regularisation, and flexible model specification. H…
Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations
Haziq Jamil, Håvard Rue
Markov chain Monte Carlo (MCMC) methods remain the mainstay of Bayesian estimation of structural equation models (SEM), though they often incur a high computational cost. We presen…
Bias-Reduced Estimation of Structural Equation Models
Haziq Jamil, Yves Rosseel, Oliver Kemp +1
Finite-sample bias is a pervasive challenge in the estimation of structural equation models (SEMs), especially when sample sizes are small or measurement reliability is low. A rang…
Pairwise likelihood estimation and limited information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling
Haziq Jamil, Irini Moustaki, Chris Skinner
This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights.…
Additive interaction modelling using I-priors
Wicher Bergsma, Haziq Jamil
Additive regression models with interactions are widely studied in the literature, using methods such as splines or Gaussian process regression. However, these methods can pose cha…
iprior: An R Package for Regression Modelling using I-priors
Haziq Jamil, Wicher Bergsma
This is an overview of the R package iprior, which implements a unified methodology for fitting parametric and nonparametric regression models, including additive models, multileve…