Bayesian post-correction of non-Markovian errors enables Heisenberg scaling F_eff = O(N^2) in bosonic lattice gravimetry when L >= ell + 2 modes.
Efron, Why isn’t everyone a bayesian?, The American Statistician40, 1 (1986)
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A method for non-parametric finite-sample intervals that permit p% belief assignment after observing the interval but not necessarily the full data, using only a 1D prior.
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Bayesian post-correction of non-Markovian errors in bosonic lattice gravimetry
Bayesian post-correction of non-Markovian errors enables Heisenberg scaling F_eff = O(N^2) in bosonic lattice gravimetry when L >= ell + 2 modes.
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Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
A method for non-parametric finite-sample intervals that permit p% belief assignment after observing the interval but not necessarily the full data, using only a 1D prior.