Category:Bayesian Inference
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This category contains results about Bayesian Inference.
Definitions specific to this category can be found in Definitions/Bayesian Inference.
Bayesian inference is a method of statistical inference based on Bayes' Theorem.
The unknowns to be estimated are assumed to have a prior probability distribution.
Using Bayes' Theorem, this is combined with the information from observed data expressed in terms of the likelihood of forming a posterior probability distribution for the unknowns.
As and when further data become available, the posterior distribution may be used as a prior distribution for further analysis.
Subcategories
This category has the following 7 subcategories, out of 7 total.
B
- Belief-Based Bayesian Inference (empty)
I
N
- Noncommittal Bayesian Inference (empty)
P
- Posterior Probabilities (empty)
- Posterior Probability Distributions (empty)
- Prior Probabilities (empty)
- Prior Probability Distributions (empty)