| Abstract: |
| I present several techniques for performing filtering and smoothing for partially observed stochastic differential equations. The methodology focuses upon utilizing the multilevel Monte Carlo method. I show how optimal transport and/particle filtering methods can be used in this context as well as associated complexity theorems, giving a justification of their practical application. |
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