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Lecture 1: Phân tích dữ liệu xã hội sử dụng BMF, MCMC và bayesvl với ngôn ngữ R

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  • Nguyen, Minh-Hoang

Abstract

Bài giảng tại Seminar Thống kê Ứng dụng, Viện Nghiên Cứu Cao Cấp về Toán (VIASM) ngày 04 tháng 08 năm 2021. Video về bài giảng: https://www.youtube.com/watch?v=5vITKQDjQHw

Suggested Citation

  • Nguyen, Minh-Hoang, 2021. "Lecture 1: Phân tích dữ liệu xã hội sử dụng BMF, MCMC và bayesvl với ngôn ngữ R," OSF Preprints s9rq7, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:s9rq7
    DOI: 10.31219/osf.io/s9rq7
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    References listed on IDEAS

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    1. Quan-Hoang Vuong, 2020. "Reform retractions to make them more transparent," Nature, Nature, vol. 582(7811), pages 149-149, June.
    2. Quan-Hoang Vuong, 2019. "Breaking barriers in publishing demands a proactive attitude," Nature Human Behaviour, Nature, vol. 3(10), pages 1034-1034, October.
    3. Vuong, Quan-Hoang, 2016. "Global Mindset as the Integration of Emerging Socio-Cultural Values Through Mindsponge Processes," OSF Preprints c3jza, Center for Open Science.
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