Statistical evidence and sample size determination for Bayesian hypothesis testing
By Fulvio De Santis. 2004
55 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7e5bd7e0748de768f8bcd2ac06a29f16d520e0cc
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In Statistics and Probability
- John K. Kruschke
- Zoltan Dienes
- Paul-Christian Burkner
- Andrew Gelman
- David M. Blei
- Daniël Lakens
- Gregory Francis
- Chia-ying Lee
Citations in the corpus
- Doing Bayesian Data Analysis: A Tutorial with R and BUGS (2010, methodology): “Other goals regarding precision are revie w d by Adcock (1997) and by De Santis (2004, 2007). The methods emphasized in this chapt er focus on limiting the worst precision, instead of the average precision. A rather di fferent mathematical expression of precision is entropyof a distribution. Entropy”
- Bayesian data analysis. (2010, methodology): “The approach described here has assumed a data-generating distribution based on a posterior from a single experiment, but De Santis (2007) described how to mix posteriors from several previous experiments to create a data-generating distribution.”