Glossary: Probability Revision and Bayes
2022
This glossary of terms supports the teaching pack on Probability Revision and Bayes, in which students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes Theorem, and gain practical skills in performing probability revision. In addition to the glossary, materials include an instructor's note, videos, companion slides, an annotated bibliography, sample exercises, and additional support.
Glossary of Terms
- Bayes' rule/Bayes formula
- Conditional probability
- Expected value
- False negatives (FN)
- False positives (FP)
- False-negative rate (FNR)
- False-positive rate (FPR)
- Prevalence
- Prior probability
- Posterior probability
- Probability
- Sensitivity
- Specificity
- Subjective probability
- Subjectivist or Bayesian
- True negatives (TN)
- True positives (TP)
- True-negative rate (TNR)
- True-positive rate (TPR)
This teaching pack was developed by Sue J. Goldie at the Center for Health Decision Science, Harvard T.H. Chan School of Public Health. The multimedia components were developed as part of a series of pilots in the CHDS Media Hub, led by Jake Waxman, where media-based pedagogy experiments contribute to new ways of thinking about short form content.
Related Files:
Source:
Glossary. Teaching Pack: Probability Revision and Bayes. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022. https://repository.chds.hsph.harvard.edu/repository/2516