Likelihood function
Summary
The likelihood function gives, for each value of an unknown parameter, the probability or the density of the observed data under that value. It is a function of the parameter, with the data fixed. The node likelihood function gives the precise definition.
What this node needs for W2
- edge instance_of in: at least two examples (0 of 2)
- edge not_instance_of in: at least one non-example (0 of 1)
- edge specializes both: the more general notions and the special cases (0 of 1)
The writing levels say how complete the text of a node is. They do not measure its truth.
Sources
- Web https://en.wikipedia.org/wiki/Likelihood_function, lead section
What links here
Definitions
- Likelihood function 05FSTXM92W