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Found 4 papers, 0 papers with code
Asymptotic Properties for Bayesian Neural Network in Besov Space
In this paper, we show that the Bayesian neural network using spike-and-slab prior has consistency with nearly minimax convergence rate when the true regression function is in the Besov space.
Estimation of Conditional Mean Operator under the Bandable Covariance Structure
We propose the blockwise tapering estimator of the regression coefficient, which has the minimax optimal convergence rate for the regression coefficient under the bandable covariance assumption.
Statistics Theory Statistics Theory
Lévy Adaptive B-spline Regression via Overcomplete Systems
The estimation of functions with varying degrees of smoothness is a challenging problem in the nonparametric function estimation.
Methodology 62G08
Seroprevalence of SARS-CoV-2 antibodies in South Korea
We analyze the seroprevalence surveys using a Bayesian method with an informative prior distribution on the seroprevalence parameter, and the sensitivity and specificity of the diagnostic test.
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