Research Article
Bayesian Estimation Applied to Stochastic Localization with Constraints due to Interfaces and Boundaries
Table 1
Probability Density Functions (PDF) which are important for estimation theory.
| | PDF of the observation conditioned on | | The likelihood function (depending on the condition ) | | the prior, that is, PDF of the prior knowledge about | | the posterior, that is, PDF of the posterior distribution of parameter conditioned on | | PDF of the probability of the occurrence of ( marginal distribution) | | random variables and are distributed according to their PDFs and |
|
|