This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamen

The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variabl

These notes were written as a result of my having taught a "nonmeasure theoretic" course in probability and stochastic processes a few times at the Weizmann Ins

Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian an

An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications present