Discrete and continuous probability distributions are two fundamental types of probability distributions, each describing different kinds of random variables.

Now suppose F is a probability distribution on R n. There exist spherically symmetric (about the origin) random vectors X and Y whose sum X + Y has distribution F if and only if all the ...

Fundamental methods are developed for the derivation of the probability density function and moments of rational algebraic functions of independent random variables. Laplace and Mellin integral ...

Books Received Published: 01 January 1938 (1) Généralités sur les probabilités; variables aléatoires (2) Théorie de l'addition des variables aléatoires (3) Random Variables and Probability ...

Malliavin Calculus: A branch of stochastic analysis that provides tools for differentiating random variables, useful in refining derivative controls in Stein’s method.

Additionally, you will learn about conditional probability, random variables, probability distributions, and real-life applications of probability.

Overall, the concepts of discrete and continuous probability distributions and the random variables they describe are the underpinnings of probability theory and statistical analysis.