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Adaptive Bayesian Estimation of Conditional Densities Based on Orthogonal Polynomials
We study Bayesian estimation of conditional densities represented by normalized squares of orthogonal polynomial series. We specify the conditional density without modeling the marginal distribution of covariates. A prior on smoothness, the number of terms, and the coefficients gives adaptive poster
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