Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bayesian analysis of stochastic constraints in structural equation models.

S Y Lee1

  • 1Department of Statistics, Chinese University of Hong Kong, Shatin, NT.

The British Journal of Mathematical and Statistical Psychology
|May 1, 1992
PubMed
Summary

This study introduces a Bayesian approach for analyzing structural equation models with stochastic constraints. The method accurately estimates parameters in complex models, validated through simulations and a real-world example.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Preconditioning regulation of bcl-2 and p66shc by human NOS1 enhances tolerance to oxidative stress.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2000
Same author

Pseudotumorous hyperplasia of the caudate lobe in the non-cirrhotic liver: MR and CT arterial portography appearance.

Hepato-gastroenterology·2000
Same author

"Paper-clip" type triple helix formation by 5'-d-(TC)3Ta(CT)3Cb(AG)3 (a and b = 0-4) as a function of loop size with and without the pseudoisocytosine base in the Hoogsteen strand.

Biochemistry·2000
Same author

Acoustic emissions generated in aged dental composites using a laser thermoacoustic technique.

Journal of oral rehabilitation·2000
Same author

Proteolytic activity of cysteine protease in excretory-secretory product of Paragonimus westermani newly excysted metacercariae pivotally regulates IL-8 production of human eosinophils.

Parasite immunology·2000
Same author

Renal infarction in a patient with von Willebrand disease.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2000

Area of Science:

  • Statistics
  • Econometrics
  • Psychometrics

Background:

  • Structural equation models (SEMs) are widely used for analyzing complex relationships between variables.
  • Incorporating stochastic constraints into SEMs presents analytical challenges.
  • Existing methods may not fully address the nuances of Bayesian estimation under such constraints.

Purpose of the Study:

  • To develop and evaluate a Bayesian methodology for structural equation models with stochastic constraints.
  • To provide a framework for incorporating prior information on nuisance parameters within the covariance matrix.
  • To demonstrate the practical application and accuracy of the proposed Bayesian approach.

Main Methods:

  • A Bayesian perspective is adopted, considering a prior distribution for nuisance parameters in the error covariance matrix.

Related Experiment Videos

  • An iterative procedure is implemented for computing Bayesian estimates.
  • Stochastic constraints are explicitly handled within the model framework.

    • Main Results:

    • The developed Bayesian approach provides accurate estimates for structural equation models with stochastic constraints.
    • Simulation studies confirm the method's reliability and performance.
    • The approach is demonstrated to be effective in a real-life application.

    Conclusions:

    • The proposed Bayesian method offers a robust solution for analyzing structural equation models with stochastic constraints.
    • This approach enhances parameter estimation accuracy and provides a practical tool for researchers.
    • The study validates the Bayesian framework through empirical evidence and simulations.