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An increasing family of sigma-algebras represents information available over time.

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  • Itô calculus

    Stochastic integration against Brownian motion includes a quadratic-variation correction in change-of-variable formulas.

  • Martingales

    An integrable adapted process has conditional expected future value equal to its present value.

  • Poisson processes

    A homogeneous Poisson process counts events with stationary independent increments at a constant rate.

  • Random variables

    A random variable is a measurable function on a probability space, allowing outcomes to be described numerically.

  • Brownian motion

    Brownian motion has continuous paths and independent Gaussian increments with variance equal to elapsed time.

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Stochastic Processes

Explore processes and dependence; counting and continuous paths; information and stochastic calculus. Concepts and connections are available independently of video coverage.

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