tommy / data-science-papers
Papers of interest for data scientists, covering mathematics, scientific computing, optimization, statistics, etc.
Items
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Added 10 months ago
Cynthia Rudin, 2018, "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead"
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The garden of forking paths
(sites.stat.columbia.edu)
Added 10 months ago
Andrew Gelman and EricLoken, 2013, The garden of forking paths: Why multiple comparisons can be a problem
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Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results
(doi.org)
Added 10 months ago
Silberzahn R, Uhlmann EL, Martin DP, et al. Advances in Methods and Practices in Psychological Science. 2018 1(3):337-356. doi:10.1177/2515245917747646
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Added 10 months ago
Wilson G, Bryan J, Cranston K, Kitzes J, Nederbragt L, Teal TK (2017). PLoS Comput Biol 13(6): e1005510.
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Created: April 26, 2025 Updated: November 2, 2025
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