{"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/how-consistent-is-my-model-with-the-data","title":"How consistent is my model with the data? Information-Theoretic Model Check","arxiv_id":"1712.02675","date":"2017-12-07","proceeding":null,"authors":["Andreas Svensson","Dave Zachariah","Thomas B. Schön"],"abstract":"The choice of model class is fundamental in statistical learning and system\nidentification, no matter whether the class is derived from physical principles\nor is a generic black-box. We develop a method to evaluate the specified model\nclass by assessing its capability of reproducing data that is similar to the\nobserved data record. This model check is based on the information-theoretic\nproperties of models viewed as data generators and is applicable to e.g.\nsequential data and nonlinear dynamical models. The method can be understood as\na specific two-sided posterior predictive test. We apply the\ninformation-theoretic model check to both synthetic and real data and compare\nit with a classical whiteness test.","url_abs":"http://arxiv.org/abs/1712.02675v2","url_pdf":"http://arxiv.org/pdf/1712.02675v2.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":"how-consistent-is-my-model-with-the-data","repo_url":"https://github.com/saerdna-se/itmc","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}