Stochastic Processes

Random processes indexed by time: Markov chains, Lévy, and Gaussian processes.


foundation tier

Stochastic Processes. Random processes indexed by time: Markov chains, Lévy, and Gaussian processes.

Foundations and canonical references

The standard treatments of stochastic processes approach the subject from complementary angles. Lawler, Introduction to Stochastic Processes (2006) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to. Ross, Stochastic Processes (1996) gives a parallel, more proof-oriented exposition of the same material and is widely used as a graduate text.

Open methodological questions for stochastic processes include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.

Prerequisites

Sources

  • textbook · primary · 2006
    Introduction to Stochastic Processes
    lawler-2006
  • textbook · primary · 1996
    Stochastic Processes
    ross-1996

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Explore

  1. 01

    Markov Chains

    Discrete- and continuous-time chains, stationarity, mixing, and coupling.

  2. 02

    Mixing Times of Markov Chains

    Spectral gap, conductance, and cutoff phenomena.

  3. 03

    Brownian Motion

    Wiener process, sample-path regularity, and martingale characterization.

  4. 04

    Lévy Processes

    Independent-increment processes, Poisson, jump diffusions.

  5. 05

    Gaussian Processes

    Covariance kernels, regularity, and supremum bounds.

  6. 06

    Branching Processes

    Galton–Watson, multitype branching, and superprocesses.

  7. 07

    Random Walks

    Simple and biased walks, hitting times, and Green's functions.

  8. 08

    Point Processes

    Poisson, Cox, Hawkes, and determinantal processes.

  9. 09

    Interacting Particle Systems

    Contact processes, exclusion processes, and voter models.


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