An Introduction to Probability Theory and Its Applications. Volume 1
Fifty Challenging Problems in Probability with Solutions
Probability with martingales
Coupling, Stationarity, and Regeneration
Introduction to Queueing Theory
Introduction to probability
Probabilistic Inference Using Markov Chain Monte Carlo Methods
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Stochastic Modeling)
Probability, Random Variables and Stochastic Processes
A first look at rigorous probability theory
Introduction to Counting and Probability
Introduction to Probability
Counterexamples in probability (TOC)
Applied regression analysis
Stochastic Differential Equations and Applications. Volume 1
