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Exploring realistic Bayesian modeling situations
Linköping University.ORCID iD: 0000-0001-5013-8890
2014 (English)In: Sustainability in statistics education: Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9) / [ed] K. Makar, B. de Sousa, & R. Gould (Eds.), Flagstaff: International Statistical Institute (ISI) , 2014Conference paper, Published paper (Refereed)
Abstract [en]

The study reported in the present paper is part of a larger project, which aims to explore possibilities and challenges in developing a teaching practice that supports students’ ability to model random dependent situations by a Bayesian approach. A central premise is that modeling should be based on situations that appear realistic to the students. Given this premise, the specific purpose of the present study is to identify and characterize uncertain situations that are realistic and suitable for a Bayesian treatment. The study involves reviewing some of the literature related to Bayesian applications. Based on that review we distinguish detecting (test) situations and construction composition situations as two general types of Bayesian modeling situations.

Place, publisher, year, edition, pages
Flagstaff: International Statistical Institute (ISI) , 2014.
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Didactics
Identifiers
URN: urn:nbn:se:liu:diva-161284OAI: oai:DiVA.org:liu-161284DiVA, id: diva2:1365999
Conference
ICOTS9 - Ninth International Conference on Teaching Statistics
Available from: 2019-10-27 Created: 2019-10-27 Last updated: 2019-10-27

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https://iase-web.org/icots/9/proceedings/pdfs/ICOTS9_6A3_NILSSON.pdf

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Ärlebäck, Jonas Bergman
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