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Adaptive Bayesian Regression Splines in Semiparametric Generalized Linear Models

Adaptive Bayesian Regression Splines in Semiparametric Generalized Linear Models

This paper presents a fully Bayesian approach to regression splines with automatic knot selection in generalized semiparametric models for fundamentally non{Gaussian responses.In a basis function representation of the regression spline we use a B{spline basis.The reversible jump Markov c hain Monte Carlo method allows for simultaneous estimation both of the …