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1707.01764
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Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation
6 July 2017
Richard Nickl
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Papers citing
"Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation"
50 / 54 papers shown
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Misspecified Bernstein-Von Mises theorem for hierarchical models
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On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
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Optimal regularized hypothesis testing in statistical inverse problems
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Donsker Theorems for Occupation Measures of Multi-Dimensional Periodic Diffusions
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Consistent inference for diffusions from low frequency measurements
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Adaptive inference over Besov spaces in the white noise model using
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Aimilia Savva
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A Bernstein--von-Mises theorem for the Calderón problem with piecewise constant conductivities
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Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation
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Laplace priors and spatial inhomogeneity in Bayesian inverse problems
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291
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202
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252
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Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
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241
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Sven Wang
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A. van der Vaart
254
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Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
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Richard Nickl
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233
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278
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Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems
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Spectral thresholding for the estimation of Markov chain transition operators
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Kengo Kato
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Bayesian linear inverse problems in regularity scales
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Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data
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222
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