An ensemble Langevin sampler with birth-death jumps and topology-aware reparameterization recovers GW150914 parameters faster than nested sampling but systematically overconstrains them.
A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion
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Efficient Bayesian Sampling with Langevin Birth-Death Dynamics
An ensemble Langevin sampler with birth-death jumps and topology-aware reparameterization recovers GW150914 parameters faster than nested sampling but systematically overconstrains them.