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Adaptive Bayesian nonparametric regression using kernel mixture of
  polynomials with application to partial linear model
v1v2v3 (latest)

Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear model

22 October 2017
Fangzheng Xie
Yanxun Xu
ArXiv (abs)PDFHTML

Papers citing "Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear model"

1 / 1 papers shown
Title
Parametrization, Prior Independence, and the Semiparametric
  Bernstein-von Mises Theorem for the Partially Linear Model
Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
C. D. Walker
30
0
0
06 Jun 2023
1