Bayesian data augmentation reintroduces missing LISA data segments as auxiliary variables during posterior sampling to enable consistent parameter estimation for galactic binaries despite gaps.
(6), it is preferable to have an analytic model of the response in the frequency domain
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Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method
Bayesian data augmentation reintroduces missing LISA data segments as auxiliary variables during posterior sampling to enable consistent parameter estimation for galactic binaries despite gaps.