{"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/stochasticdominance-jl-a-julia-package-for","title":"StochasticDominance.jl: A Julia Package for Higher Order Stochastic Dominance","arxiv_id":"2502.17043","date":"2025-02-24","proceeding":null,"authors":["Rajmadan Lakshmanan","Alois Pichler"],"abstract":"Stochastic dominance is a fundamental concept in decision-making under uncertainty and quantitative finance, yet its practical application is hindered by computational intractability due to infinitely many constraints. We introduce the Julia package StochasticDominance, an open-source tool that efficiently verifies and optimizes under higher-order stochastic dominance constraints. Our approach builds on recent theoretical advancements that reduce infinite constraints to a finite number, making higher-order stochastic dominance more accessible. This package provides a user-friendly, black-box solution, enabling researchers and practitioners to incorporate stochastic dominance constraints seamlessly into their optimization frameworks.","url_abs":"https://arxiv.org/abs/2502.17043v2","url_pdf":"https://arxiv.org/pdf/2502.17043v2.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":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"stochasticdominance-jl-a-julia-package-for","repo_url":"https://github.com/rajmadan96/stochasticdominance","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}