Abstract
This work aims at parameter estimation for discretely observed forward-backward stochastic differential equations. As the first step, we consider a linear model in this paper.The relationship between the forward and backward state processes is derived and hence the likelihood function with respect to discrete observations is determined. The consistency and asymptotic normality of the maximum likelihood estimator are discussed in details.
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