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This paper investigates the problem of Bayesian parameter estimation for continuous-time autoregressive moving average (CARMA) models driven by jump diffusions. Inference is performed through the evaluation of the likelihood function conditional on jump times, and the realized jump sizes are marginalized assuming they are normally distributed. A Markov(More)
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