Continuous-discrete smoothing of diffusions

Understand

Suppose X is a multivariate diffusion process that is observed discretely in time.

• At each observation time, a transformation of the state of the process is observed with noise.
• The smoothing problem consists of recovering the path of the process, consistent with the observations.
• We derive a novel Markov Chain Monte Carlo algorithm to sample from the exact smoothing distribution.