Covers random variables, expectation, and distributions in probability spaces.
Covers the review of probability concepts including Poisson distribution and moment generating functions.
Introduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.
Introduces key statistical concepts through practical exercises and MATLAB applications.
Explores probability inequalities, convergence types, and moment generating functions for distribution approximation.
Explores mean, variance, probability functions, inequalities, and various types of random variables, including Binomial, Geometric, Poisson, and Gaussian distributions.
