Bayesian data augmentation reintroduces missing LISA data segments as auxiliary variables during posterior sampling to enable consistent parameter estimation for galactic binaries despite gaps.
Priestley, Spectral analysis and time series , Probabil- ity and mathematical statistics No
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
gr-qc 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.