Citations (8)
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Nobuyuki Hanaki, Jan R. Magnus & Donghoon Yoo. (2023) Statistics and Common Sense. Journal of Statistics and Data Science Education 31:3, pages 295-304.
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Mine Dogucu & Jingchen Hu. (2022) The Current State of Undergraduate Bayesian Education and Recommendations for the Future. The American Statistician 76:4, pages 405-413.
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Andrew Hoegh. (2020) Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So. Journal of Statistics Education 28:3, pages 222-228.
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Articles from other publishers (5)
Anayo Chukwu Ikegwu, Henry Friday Nweke & Chioma Virginia Anikwe. (2023) Recent trends in computational intelligence for educational big data analysis. Iran Journal of Computer Science.
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Mintu Nath. 2023. Teaching Biostatistics in Medicine and Allied Health Sciences. Teaching Biostatistics in Medicine and Allied Health Sciences
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Jingchen Hu & Mine Dogucu. (2022) Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations. Stat 11:1.
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Joshua M. Rosenberg, Marcus Kubsch, Eric-Jan Wagenmakers & Mine Dogucu. (2022) Making Sense of Uncertainty in the Science Classroom. Science & Education 31:5, pages 1239-1262.
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Sang-Yeon Kim, Emily Godager, Benjamin Davis & Irkown Jeong. (2021) Detective Activity Comparing Frequentist (NHST) and Bayesian Methods: Introducing Bayesian Concepts to Students of Communication. Asian Communication Research 18:1, pages 22-33.
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