{"paper":{"title":"Statistical challenges in the search for dark matter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"hep-ph","authors_text":"Aaron C. Vincent, Alyson Brooks, Benjamin R. Safdi, Bradley J. Kavanagh, Christoph Weniger, Fabio Iocco, Francis-Yan Cyr-Racine, J. Alberto Casas, Jennifer Rittenhouse West, Jessi Cisewski-Kehe, Judita Mamu\\v{z}i\\'c, Melissa van Beekveld, Nassim Bozorgnia, Pat Scott, Robert L. Wolpert, Roberto Ruiz de Austri, Sara Algeri, Siddharth Mishra-Sharma, Thomas D. P. Edwards, Tracy R. Slatyer, Wolfgang Rau, Yue-Lin Sming Tsai","submitted_at":"2018-07-24T18:00:00Z","abstract_excerpt":"The search for the particle nature of dark matter has given rise to a number of experimental, theoretical and statistical challenges. Here, we report on a number of these statistical challenges and new techniques to address them, as discussed in the DMStat workshop held Feb 26 - Mar 3 2018 at the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Alberta."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09273","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}