Bayes’ Theorem
Bayes’ theorem reverses conditional probabilities using prior and evidence probabilities.
Definition · Example · CSE Use →Definitions, examples and Computer Science applications for this mathematics subject.
Bayes’ theorem reverses conditional probabilities using prior and evidence probabilities.
Definition · Example · CSE Use →A Bernoulli distribution models one trial with two outcomes, typically success 1 and failure 0.
Definition · Example · CSE Use →A binomial distribution models the number of successes in n independent Bernoulli trials with the same success probability.
Definition · Example · CSE Use →The complement of event A contains all outcomes where A does not occur.
Definition · Example · CSE Use →Conditional probability measures the probability of A given that B has occurred.
Definition · Example · CSE Use →A continuous random variable can take values across a continuous interval.
Definition · Example · CSE Use →A discrete random variable takes a countable set of possible values.
Definition · Example · CSE Use →An event is a subset of the sample space representing outcomes of interest.
Definition · Example · CSE Use →Expected value is the long-run weighted average of a random variable.
Definition · Example · CSE Use →Two events are independent when knowing one occurs does not change the probability of the other.
Definition · Example · CSE Use →Probability measures how likely an event is, from 0 for impossible to 1 for certain.
Definition · Example · CSE Use →A probability distribution specifies probabilities or densities for the possible values of a random variable.
Definition · Example · CSE Use →A random experiment is a process whose exact outcome is uncertain even though the possible outcomes are known.
Definition · Example · CSE Use →A random variable assigns a numerical value to each outcome of a random experiment.
Definition · Example · CSE Use →A sample space is the set of all possible outcomes of a random experiment.
Definition · Example · CSE Use →