{"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/tick-a-python-library-for-statistical","title":"Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling","arxiv_id":"1707.03003","date":"2017-07-10","proceeding":null,"authors":["Emmanuel Bacry","Martin Bompaire","Stéphane Gaïffas","Soren Poulsen"],"abstract":"Tick is a statistical learning library for Python~3, with a particular\nemphasis on time-dependent models, such as point processes, and tools for\ngeneralized linear models and survival analysis. The core of the library is an\noptimization module providing model computational classes, solvers and proximal\noperators for regularization. tick relies on a C++ implementation and\nstate-of-the-art optimization algorithms to provide very fast computations in a\nsingle node multi-core setting. Source code and documentation can be downloaded\nfrom https://github.com/X-DataInitiative/tick","url_abs":"http://arxiv.org/abs/1707.03003v2","url_pdf":"http://arxiv.org/pdf/1707.03003v2.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":"tick-a-python-library-for-statistical","repo_url":"https://github.com/X-DataInitiative/tick","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"tick-a-python-library-for-statistical","repo_url":"https://github.com/X-DataInitiative/tick_archive","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"point-processes","task_name":"Point Processes"},{"task_slug":"survival-analysis","task_name":"Survival Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1707.03003","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}