| Smallman, Luke and Artemiou, Andreas  ORCID: https://orcid.org/0000-0002-7501-4090
      2022.
      
      A literature review of (sparse) exponential family PCA.
      Journal of Statistical Theory and Practice
      16
      
      
      , 14.
      10.1007/s42519-021-00238-4   | 
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      Official URL: https://doi.org/10.1007/s42519-021-00238-4
    
  
  
    Abstract
This is a brief overview of the methodology around exponential family PCA. We revisit classic PCA methodology and we focus on exponential family PCA due to it's applicability on a number of distributions and hence a wide variety of problems. We discuss the applicability of these methods to text data analysis due to the high-dimensional and sparse nature of these data.
| Item Type: | Article | 
|---|---|
| Date Type: | Publication | 
| Status: | Published | 
| Schools: | Schools > Mathematics | 
| Subjects: | Q Science > QA Mathematics | 
| Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License | 
| Publisher: | Taylor and Francis | 
| ISSN: | 1559-8616 | 
| Date of First Compliant Deposit: | 4 January 2022 | 
| Date of Acceptance: | 25 December 2021 | 
| Last Modified: | 10 May 2023 16:23 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/146313 | 
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