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Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data. [PDF]
Eales O +3 more
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Flexible Parametric Accelerated Failure Time Models With Cure. [PDF]
Akynkozhayev B +4 more
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The socioeconomic environment and access to care affect the survival of patients with hepatocellular carcinoma and intrahepatic cholangiocarcinoma. [PDF]
Chaigneau T +13 more
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Robust estimation and model selection in semi-parametric regression models.. [PDF]
Tharmaratnam, Kukatharmini
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Asymptotic properties of penalized spline estimators
Claeskens, Gerda +2 more
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The use of spline, Bayesian spline and penalized Bayesian spline regression for modeling
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Spatially Adaptive Bayesian Penalized Regression Splines (P-splines)
Journal of Computational and Graphical Statistics, 2005In this article we study penalized regression splines (P-splines), which are low-order basis splines with a penalty to avoid undersmoothing. Such P-splines are typically not spatially adaptive, and hence can have trouble when functions are varying rapidly.
Veerabhadran Baladandayuthapani +2 more
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Canadian Journal of Statistics, 2012
AbstractThe penalized spline is a popular method for function estimation when the assumption of “smoothness” is valid. In this paper, methods for estimation and inference are proposed using penalized splines under additional constraints of shape, such as monotonicity or convexity.
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AbstractThe penalized spline is a popular method for function estimation when the assumption of “smoothness” is valid. In this paper, methods for estimation and inference are proposed using penalized splines under additional constraints of shape, such as monotonicity or convexity.
openaire +1 more source

