Explore common myths and truths about probability distribution functions in data science, enhancing your analytical accuracy.

Evaluation of probability distribution functions and their inverse functions plays a primarily important role in a statistical analysis and inference. In additi ...

This paper presents a comprehensive study on wind power potential using measurement data spanning one year and collected from seven key locations in Libya: Murzuq, Sabha, Tripoli, Tarhuna, Ghadames, ...

Using spin-1/2 state (qubit state) description by the conditional probability distributions of dichotomic random variables, we construct the irreducible Lie su (2) algebra representations by means of ...

Beronika Daxner, Antoine Genitrini, Bernhard Gittenberger, Cécile Mailler, THE RELATION BETWEEN TREE SIZE COMPLEXITY AND PROBABILITY FOR BOOLEAN FUNCTIONS GENERATED BY UNIFORM RANDOM TREES, Applicable ...

The concentration of empirical measures is studied for dependent data, whose joint distribution satisfies Poincaré-type or logarithmic Sobolev inequalities. The general concentration results are then ...