STAT632Graduate
Inference for Stochastic Processes
Printed in the catalogue as INFERENCE FOR STOCHASTIC PROCESSES
Course content
Special models. Large sample theory for discrete and continuous parameter stochastic processes. Optimal testing. Bayesian, nonparametric and sequential inference for stochastic processes. Martingales. Stochastic differential equations.
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