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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Whether a stopping time has occurred by a time is determined by information available then.
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Stochastic integration against Brownian motion includes a quadratic-variation correction in change-of-variable formulas.
An integrable adapted process has conditional expected future value equal to its present value.
Brownian motion has continuous paths and independent Gaussian increments with variance equal to elapsed time.
An increasing family of sigma-algebras represents information available over time.
A Markov chain's next-state distribution depends on the present state rather than the full history.
Explore processes and dependence; counting and continuous paths; information and stochastic calculus. Concepts and connections are available independently of video coverage.