Probability distribution functions (PDFs) are fundamental to data science, yet they are often misunderstood. A PDF is a mathematical function that provides the probabilities of occurrence of ...

Mode: A mode of the distribution of a r.v. Y is any point, if such points exist, that maximizes the probability density function of Y . The mode is obtained by taking the first derivative of the ...

Probability distributions can also be used to create cumulative distribution functions (CDFs) that add up the probability of occurrences cumulatively. They always start at zero and end at 100%.

In this paper, we propose a model of a parameter estimator filter for Black Box-type Stochastic Systems (BBSS), that is, only its inputs and outputs are known; considering its intrinsic properties ...

We briefly describe two formal alternatives, namely imprecise probabilities and possibilistic distribution functions, as well as informal ... Katzav, J., Thompson, E.L., Risbey, J. et al. On the ...

This paper shows that for the multiple distribution estimation filter (MDEF)[1] [2], the one-step-behind (OSB) smoothed state probability density function (PDF) ...