{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-novel-bayesian-approach-for-latent-variable","title":"A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values","arxiv_id":"1806.04610","date":"2018-06-12","proceeding":null,"authors":["Ruifei Cui","Ioan Gabriel Bucur","Perry Groot","Tom Heskes"],"abstract":"We consider the problem of learning parameters of latent variable models from\nmixed (continuous and ordinal) data with missing values. We propose a novel\nBayesian Gaussian copula factor (BGCF) approach that is consistent under\ncertain conditions and that is quite robust to the violations of these\nconditions. In simulations, BGCF substantially outperforms two state-of-the-art\nalternative approaches. An illustration on the `Holzinger & Swineford 1939'\ndataset indicates that BGCF is favorable over the so-called robust maximum\nlikelihood (MLR) even if the data match the assumptions of MLR.","url_abs":"http://arxiv.org/abs/1806.04610v1","url_pdf":"http://arxiv.org/pdf/1806.04610v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-novel-bayesian-approach-for-latent-variable","repo_url":"https://github.com/cuiruifei/CopulaFactorModel","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-novel-bayesian-approach-for-latent-variable","repo_url":"https://github.com/code-implementation1/Code9/tree/main/bgcf","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"missing-values","task_name":"Missing Values"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.04610","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}