Applied probability and stochastic networks

Play of Chance and Purpose

Partially Observed Markov Decision Processes

Scalable Monte Carlo for Bayesian Learning

Random Graphs and Complex Networks

Introduction to Probability for Computing

Bayesian Filtering and Smoothing

Network Models for Data Science

The Fundamentals of Heavy Tails

Large-Scale System Analysis Under Uncertainty

Scheduling and Control of Queueing Networks

Thinking Probabilistically

Processing Networks