Web Appendix to “ Bayesian inference in semiparametric mixed models for longitudinal data ”
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چکیده
(0,∞) ∫ Rp̃ f(Y | β⋆,D, τ, σ )π(D, τ, σ)dβ⋆dτdDdσ , where P = {D : D is a q×q positive definite matrix}.Without creating confusion we suppress the subscripts for the integration spaces below. Further let Σ = ZCZ + σI, where Z = (Z, Z) and Cq̃×q̃ = diag(D, . . . ,D, τIr−2) with q̃ = mq + r − 2. Note this Z is not the one originally defined in Section 2.2. For convenience, we do not change the notation. Further let p̃ = p+2. To show m(Y) < ∞, integrate out β⋆ analytically. This yields
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تاریخ انتشار 2008