• High-Dimensional Probability: an Introduction with Applications to Data Science (Roman Vershynin)
  • APC550 High-Dimensional Probability (Ramon van Handel)
  • Concentration of Measure Phenomenon (Michel Ledoux)
  • Probability in Banach Spaces (Michel Ledoux and Michel Talagrand)
  • Concentration Inequalities: a Nonasymptotic Theory of Independence (Stéphane Boucheron, Gábor Lugosi, and Pascal Massart)

  • Concentration Inequalities and Model Selection (Saint-Flour 2003, Pascal Massart)

  • Random Fields and Geometry (Robert Adler and Jonathan Taylor)

  • Spectral Analysis of Large Dimensional Random Matrices (Zhidong Bai and Jack Silverstein)

  • Percolation (Geoffrey Grimmett)
  • 50 Years of First-Passage Percolation (Antonio Auffinger, Michael Damron, and Jack Hanson)
  • Proceedings of Symposia in Applied Mathematics Vol.79: Random Growth Models (AMS Short Course January 2–3, 2017; edited by Michael Damron, Firas Rassoul-Agha, and Timo Seppäläinen)

  • Statistical Mechanics of Lattice Systems: a Concrete Mathematical Introduction (Sacha Friedli and Yvan Velenik)

  • A Course on Large Deviations with an Introduction to Gibbs Measures (GSM 162; Firas Rassoul-Agha and Timo Seppäläinen)

  • Analysis and Geometry of Markov Diffusion Operators (Dominique Bakry, Ivan Gentil, and Michel Ledoux)