Stochastic Models for Communications: Continuous-Time Stochastic Processes

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.

Explores joint random variables, conditional density, and independence in probability and statistics.