Pierre Brémaud

Pierre Brémaud graduated from the École Polytechnique and obtained his Doctorate in Mathematics from the University of Paris VI and his PhD from the department of Electrical Engineering and Computer Science at the University of California, Berkeley. He is a major contributor to the theory of stochastic processes and their applications, and has authored or co-authored several reference books and textbooks.
Ebooks
Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues, Edition 2
Book 31
Fourier Analysis and Stochastic Processes
Point Process Calculus in Time and Space: An Introduction with Applications
Book 98
An Introduction to Probabilistic Modeling
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues
Book 31
Palm Probabilities and Stationary Queues
Book 41
Probability Theory and Stochastic Processes
An Introduction to Applied Probability
Book 77
Mathematical Principles of Signal Processing: Fourier and Wavelet Analysis
Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
Book 78
Initiation aux Probabilités: et aux chaînes de Markov, Édition 2