Explores convergence results for periodic case reversibility in Markov chains, covering irreducible chains, positive recurrence, reversible processes, and random walks on finite graphs.
Covers the analysis of simple systems, including characterization, experiments, and exercises to find properties.
Covers Markov chains, Monte Carlo sampling, isotropy, and the curse of dimensionality.
Explores the concept of reversibility in semiotics, analyzing the transition from utopias to dystopias through sign systems.
Explores Markov chains and their applications in algorithms, focusing on user impatience and faithful sample generation.
