Skip to main content
Scientific Computing and Machine Learning
Scientific Computing and Machine Learning
Main navigation
Home
People
All Profiles
Principal Investigators
Research Scientists
Postdoctoral Fellows
Students
Events
All Events
Events Calendar
News
KAUST Innovation Hub in Shenzhen
Opportunities
R
Approximate Bayesian inference for structural equation models
Haziq Jamil, Research Specialist, Statistics
Oct 8, 12:00
-
13:00
B9 R2325
Laplace approximation
Bayes estimators
copulas
R
This talk reviews a fast approximate Bayesian SEM method that combines Laplace, variational Bayes, and Gaussian copula techniques to deliver near-MLE speed with MCMC-like inference, and is implemented in the R package INLAvaan.