In the proposed algorithm, we model the CTU partition process as a multi-class classification problem and solve it using
Bayesian theory. Fig.
According to
Bayesian theory, the point estimations of the posterior distribution of the two parameters are 7021.3 and 1.1640.
The
Bayesian theory has proven to be efficient to solve fractional inverse problems (see [12, 13]).
Based on the
Bayesian theory, the probability of the error recognition is [18]
In this book,
Bayesian theory is discussed from chapter 6 to chapter 9.
This classification algorithm predicts the possibility of a class relation pattern when the prior probability and conditional probability are known, which is based on
Bayesian theory of probability statistics.
The discussion of the use of the
Bayesian theory continues well into the final section that centers on more existential problems: climate change, terrorism, and the bubbles in financial markets.
Tsokos,
Bayesian Theory and Methods, Springer, 2014.
A modest knowledge of probability and statistics is required, they say, in particular readers should know the basic concepts of maximum likelihood estimation and
Bayesian theory.