That being said, Bayesian logic
is based on a different conception of probability than quantitative methods like standard linear regression (Fairfield and Charman 2016, 2).
Sangero uses Bayesian logic
to prove that such a confession does not meet the criminal standard of proof.
Further, Bayesian networks are upgraded to Bayesian logic
programs, hidden Markov models to logical hidden Markov models, and Markov decision process to Markov decision programs.
* Bayesian analysis: The basis of Bayesian logic
uses the knowledge of prior events to predict future events.
The need to estimate hazard frequency in order to initiate this analysis simply illustrates the inescapable requirement for following an iterative approach to evaluate complex problems, reinforces the importance of requiring evidence from more than one source, and supports the merits of Bayesian logic
as a means to make rational use of available evidence (Gill 2002).
But fo the moment we are concerned specifically with the Bayesian logic
of moving from this E to this H.)