Simon Fraser University

Continuous Probability Distributions

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).

Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Nature

Implementation of continuous-variable quantum key distribution with composable and one-sided-device-independent security against coherent attacks

Secret communication over public channels is one of the central pillars of a modern information society. Using quantum key distribution this is achieved without relying on the hardness of mathematical ...
mccormick.northwestern.edu

ELEC_ENG 302: Probabilistic Systems

Introduction to probability theory and its applications. Axioms of probability, distributions, discrete and continuous random variables, conditional and joint distributions, correlation, limit laws, ...
Kaleido Scope

SimCorrMix: Simulation of correlated data with multiple variable types including continuous and count mixture distributions

It was made possible by grant T32HL079888 from the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH), and her dissertation mentor, Dr. Hemant K. Tiwari, ...
Simon Fraser University

Normal Distribution

The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...