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Adaptive Priors based on Splines with Random Knots
Adaptive estimation bayesian non-parametric optimal contrac-tion rate spline random knots
2013/4/27
Splines are useful building blocks when constructing priors on nonparametric models indexed by functions. Recently it has been established in the literature that hierarchical priors based on splines w...
Smoothing splines estimators for functional linear regression
Functional linear regression functional parameter functionalvariable smoothing splines
2010/3/18
The paper considers functional linear regression, where scalar responses
Y1, . . . ,Yn are modeled in dependence of random functions
X1, . . . ,Xn. We propose a smoothing splines estimator for the f...
On semiparametric regression with O'Sullivan penalised splines
Additive models Markov chain Monte Carlo Mixed models P-splines Smoothing splines
2010/4/30
This is an expos´e on the use of O’Sullivan penalised splines in contemporary semiparametric
regression, including mixed model and Bayesian formulations. O’Sullivan penalised
splines are simil...