Much of this is based around Bayesian methods.

No formal Bayesian methods are used, but sophisticated statistical inference is employed throughout.

The free energy principle: an approach to embodied perception that appeals to variational Bayesian methods.

Nonetheless, Bayesian methods are widely accepted and used, such as for example in the field of machine learning.

Another approach to supporting trade studies with uncertain information is to use the Bayesian methods.

Bayesian methods are used to update the map.

To many scientists, however, the intuitive nature of Bayesian methods adds little to their appeal.

This approach stands in contrast to standard Bayesian methods, for which the prior distribution is fixed before any data are observed.

In general, Bayesian methods are characterized by the following concepts and procedures:

Others use probabilities (Bayesian statistical methods, for example) to identify unwanted messages.