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Original citation: Beskos, A., Dureau, J. and Kalogeropoulos, K. (2015) Bayesian inference for partially observed stochastic differential equations driven by fractional Brownian motion. Biometrika, 102 (4). pp. SUMMARY We consider continuous-time diffusion models driven by fractional Brownian motion. Observations are assumed to possess a non-trivial likelihood given the latent path. Due to the non-Markovianity and high dimensionality of the latent paths, estimating posterior expectations isdoi:10.1093/biomet/asv051 fatcat:lgbgqjujszfdvmq3fcvjcxoxva