{"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/model-criticism-in-latent-space","title":"Model Criticism in Latent Space","arxiv_id":"1711.04674","date":"2017-11-13","proceeding":null,"authors":["Sohan Seth","Iain Murray","Christopher K. I. Williams"],"abstract":"Model criticism is usually carried out by assessing if replicated data\ngenerated under the fitted model looks similar to the observed data, see e.g.\nGelman, Carlin, Stern, and Rubin [2004, p. 165]. This paper presents a method\nfor latent variable models by pulling back the data into the space of latent\nvariables, and carrying out model criticism in that space. Making use of a\nmodel's structure enables a more direct assessment of the assumptions made in\nthe prior and likelihood. We demonstrate the method with examples of model\ncriticism in latent space applied to factor analysis, linear dynamical systems\nand Gaussian processes.","url_abs":"http://arxiv.org/abs/1711.04674v2","url_pdf":"http://arxiv.org/pdf/1711.04674v2.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":"model-criticism-in-latent-space","repo_url":"https://github.com/sohanseth/mcls","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"gaussian-processes","task_name":"Gaussian Processes"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.04674","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}