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Showing 1 to 4 of 4 for “"Penalized splines"”.
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Analysis Using Smoothing Via Penalized Splines as Implemented in LME() in R
… models. Following a review of literature on splines and mixed models, details for implementing mixed model splines are presented. The examples use an experiment in the health sciences to demonstrate how to use mixed models to generate the smoothers. The first example takes a simple one-group …
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Time-Varying Coefficient Models for Recurrent Events
… the first part, I propose an approach based on penalized B-splines to obtain smooth estimation for both time-varying coefficients and the log baseline intensity. An EM algorithm is developed for parameter estimation. One issue with this approach is that the estimating procedure is conditional on …
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Semiparametric Methods for the Generalized Linear Model
… is approximated using the Laplace method. A penalized quasi-likelihood approach is proposed to estimate the nonparametric function and parameters including single-index coe±cients in the GSSIMM. We estimate variance components using marginal quasi-likelihood. Asymptotic properties of the …
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Empirical Essays on the Economics of Food Price Shocks: Micro-econometric Evidence from Uganda
… and Ruppert et al’s (2003) semi-parametric penalized splines to address nonlinearities in welfare dynamics, identify and locate critical welfare thresholds, and test for the presence of single against multiple welfare equilibria. Using the full sample, I find nonlinearities in welfare …