News & Events

Events List

Subscribe to email list

Please select the email list(s) to which you wish to subscribe.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Image CAPTCHA

Enter the characters shown in the image.

User menu

You are here

  1. Department of Statistics
  2. News & Events
  3. Events List
  4. Approach to incorporate Measurement Error Bias into the Modelling of Multivariate Data

Approach to incorporate Measurement Error Bias into the Modelling of Multivariate Data

Thursday, January 4, 2018 - 16:00 to 17:00
Elizabeth Stojanovski, Lecturer, Newcastle University, Australia
Dr. Elizabeth Stojanovski
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

It is common for notions of health and behaviour to be multidimensional. Structural equation modelling (SEM) incorporates ideas from regression, path-analysis and factor analysis. SEM allows the original predictors and outcomes summarised by underlying latent variables while also accounting for relationships between the latent variables. A Bayesian approach to SEM enables models that are easy to interpret and supported by data, while also portraying research hypotheses. The development and application of Bayesian approach to SEM is presented.