An introduction to Bayesian inference.
Dr Ben Lambert explains the history and application of Bayes' rule, a mathematical formula to determine probability using a sample and prior knowledge. He also discusses sample size, Monte Carlo Markov Chain algorithms and posterity density.
| Format: | Video |
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| Language: | English |
| Language Notes: | Closed-captions in English. |
| Published: |
London, United Kingdom :
SAGE Publications Ltd.,
2017.
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| Subjects: | |
| Online Access: | Connect to this streaming video |
| Summary: | Dr Ben Lambert explains the history and application of Bayes' rule, a mathematical formula to determine probability using a sample and prior knowledge. He also discusses sample size, Monte Carlo Markov Chain algorithms and posterity density. |
|---|---|
| Physical Description: | 1 online resource (1 video file (17 min., 55 sec.)) : sound, colour |
| Audience: | Specialized. |
| ISBN: | 9781473969537 1473969530 |