Computational complexity of Bayesian inference
As already stated several times, Bayesian inference is a very time consuming problem. The major problems of probabilistic inference have
Read moreAs already stated several times, Bayesian inference is a very time consuming problem. The major problems of probabilistic inference have
Read moreThere are two extreme positions in the epistemology of probability: the objectivist and the subjectivist ones. On the one hand,
Read moreWhat is noise? Let us consider the throw of a dice.It is a very “complex” physical phenomenon. Complex in the
Read moreIncompleteness (the fact that a model neglects some factors influencing the phenomenon it is modeling) has been proved all along
Read moreIn this work we mainly restricted ourselves to the use of discrete variables. The main reason for this is that
Read moreThe Cox theorem [Cox, 1946, 1961] demonstrates how the intuitive notion of plausibility can be and should be formalized by
Read moreThe comparison between probabilistic approaches (not only Bayesian programming) and possibility theories has been debated for a long time and
Read moreAt first, the Bayesian programming syntax presented in the book “Bayesian Programming” may seem less convenient than the graphical presentation
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