Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

The Poisson noise channel with the input random variable \(X\), the scaling factor \(a\), the dark current parameter \(\lambda\), and the ouput random variable \(Y\). Poisson noise models are an ...

Conditional probability occurs when it is given that something has happened. (Hint: look for the word “given” in the question. The probability that a tennis player wins the first set of a match is ...