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