Generalized nonlinear modeling with multivariate free-knot regression splines
A Bayesian method is presented for the nonparametric modeling of univariate and multivariate non-Gaussian response data. Data-adaptive multivariate regression splines are used where the number and location of the knot points are treated as random. The posterior model space is explored using a revers...
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Format: | Journal article |
Published: |
2003
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