Catalog : EECE.5840 Probability and Random Processes (Formerly 16.584) EECE.5840 — Graduate Id: 003318 Offering: 1 Credits: 3-3 Description Sample space, Field and Probability Measure. Axiomatic ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, Chernoff bounds and large deviations, martingales, ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

In the first part, participants will get to learn the following modules: Introduction to data science, basic calculations with R Software and probability theory, probability theory and random ...

Boyan Dimitrov, Stefanka Chukova, David Green, Jr. Periodic random environments and mechanisms of their effect on imbedded random variables are discussed. The variables under consideration represent ...

These results are then used to obtain analogous inequalities for certain sums of dependent random variables such as U statistics and the sum of a random sample without replacement from a finite ...

A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables ...

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 ...

Why Discrete Mathematics is important Discrete Mathematics has many applications in daily life and students should be introduced to its concepts early ...