Items where Subject is "5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.5 Bayesian methods"
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- NCRM Typology (2951)
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- 5.2 Statistical Theory and Methods of Inference (67)
- 5.2.5 Bayesian methods (5)
- 5.2 Statistical Theory and Methods of Inference (67)
- 5. Quantitative Data Handling and Data Analysis (1170)
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Andrews, Mark and Baguley, Thom (2016) What is the replication crisis and why does it matter? A Bayesian perspective. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath.
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Bell, Andrew (2016) The Hierarchical age-period-cohort model: why does it find the results that it finds? In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Submitted)
Browne, William (2018) Using StatJR’s Statistical Analysis assistant to assist in automating statistical analysis. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
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Dienes, Zoltan (2016) Bayes factors as a measure of strength of evidence in replication studies. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Unpublished)
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Morey, Richard (2016) The mismatch between statistical thinking and statistical practice. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath.