4 problems
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Large-data small-noise Gaussian approximation for the nonlinear posterior
Let denote the finite-dimensional non-Gaussian measure arising in the decomposition of the conditioned Gaussian measure, with observation data an…
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Fourth-order Laplace approximation conjecture for skewed posterior distributions
A skewed posterior approximation may replace the Gaussian density in the symmetric component with a density obtained by extending the Laplace method to fourth order. Fourth-order s…
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Higher-order derivative bounds suffice for Gaussian variational inference asymptotics
Higher-order derivative conjecture. Bounds on higher-order derivatives would also suffice in place of the imposed bound on the second derivative.
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The Gaussian-prior conjecture on posterior contraction rates
Gaussian-prior conjecture. The use of a Gaussian prior will lead to a degradation of the convergence rate unless the norm of the true coefficients is appropriately bounde…