Conditional probability and Bayes rule , CONDITIONAL PROBABILITY BY RICHARD GREENS!
OUR SCHEDULE AS WE VENTURE ABOUT CONDITIONAL PROBABILITY
WELCOME!
- 1 Introduction
- 2 Review of Set Theory. APA
Conditional probability and Bayes rule,
- 3 Random Experiments and Probabilities
- 4 Conditional Probability
1.4.2 Law of Total Probability
1.4.4 Conditional Independence
- Probabilities
- Conditional Probability
Conditional probability, as used in probability theory, quantifies the likelihood of an event happening in the presence of another event that is known to have happened (either by evidence, assumption, or inference). This specific approach depends on the occurrence of event A having some connection to event
Conditional probability, as used in probability theory, quantifies the likelihood of an event happening in the presence of another event that is known to have happened (either by evidence, assumption, or inference). This specific approach depends on the occurrence of event A having some connection to event B.
1.4.2 Law of Total Probability
In its most basic form, the Bayes Theorem connects a test result to the conditional probability of that result in light of further relevant occurrences. In cases of high probability false positives, the theorem provides a more rational probability of a certain result.
1.4.4 Conditional Independence