Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Institutes and Centres
  3. Insight Centre for Data Analytics
  4. Insight Research Collection
  5. Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler
 
  • Details
Options

Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler

File(s)
FileDescriptionSizeFormat
Download Bayesian variable selection for latent class analysis using a collapsed gibbs sampler.pdf702.24 KB
Author(s)
White, Arthur 
Wyse, Jason 
Murphy, Thomas Brendan 
Uri
http://hdl.handle.net/10197/10872
Date Issued
January 2016
Date Available
10T10:36:05Z July 2019
Abstract
Latent class analysis is used to perform model based clustering for multivariate categorical responses. Selection of the variables most relevant for clustering is an important task which can affect the quality of clustering considerably. This work considers a Bayesian approach for selecting the number of clusters and the best clustering variables. The main idea is to reformulate the problem of group and variable selection as a probabilistically driven search over a large discrete space using Markov chain Monte Carlo (MCMC) methods. Both selection tasks are carried out simultaneously using an MCMC approach based on a collapsed Gibbs sampling method, whereby several model parameters are integrated from the model, substantially improving computational performance. Post-hoc procedures for parameter and uncertainty estimation are outlined. The approach is tested on simulated and real data.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Journal Article
Publisher
Springer
Journal
Statistics and Computing
Volume
26
Issue
1-2
Start Page
511
End Page
527
Copyright (Published Version)
2014 Springer
Keywords
  • Latent class analysis...

  • Variable selection

  • Model selection

  • Collapsed sampler

  • Finite mixture model

  • Trans-dimensional MCM...

DOI
10.1007/s11222-014-9542-5
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
Scopus© citations
16
Acquisition Date
Feb 4, 2023
View Details
Views
655
Last Month
1
Acquisition Date
Feb 5, 2023
View Details
Downloads
281
Last Week
3
Last Month
3
Acquisition Date
Feb 5, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement