目次

Motivation: why going beyond Gibbs measures. History. Reviewing the Gibbs measure formalism. Transformations of Gibbs measures. Decimation of Gibbs measures. Projections. Time-evolution of Gibbs measures. Local coarse-graining. A quantum excursion. Disorder and Gibbs-non-Gibbs problems. Spin models. Random walks in random environments. Further examples. Random-cluster models. Applications: Denoising algorithms and Gibbs measures. Dobrushin’s restoration program. Weakly Gibbs measures. Almost Gibbs measures, intuitively weak Gibbs measures. Conclusions.