Semiparametric Regression
Ruppert, Wand and Carroll (2003)
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Key Facts
- Author: David Ruppert[1], Matt Wand[2], Raymond J. Carroll[3]
- Instance of: version, edition or translation[4]
- Publisher: Cambridge University Press[5]
- Language of work or name: English[6]
- Publication date: 2003[7]
- Main subject: semiparametric regression[8]
- Number of pages: 386[9]
- Title: Semiparametric Regression[10]
- Cites work: Generalized Additive Models[11], Flaws in risk assessments[12], Nonlinear Regression Analysis and Its Applications[13], Statistical Decision Theory and Bayesian Analysis[14], Robust Locally Weighted Regression and Smoothing Scatterplots[15], Bayes Empirical Bayes[16], Multivariate Adaptive Regression Splines[17], The Elements of Statistical Learning[18], Local Regression and Likelihood[19], On Estimating Regression[20], Multivariate Locally Weighted Least Squares Regression[21], Regression Shrinkage and Selection Via the Lasso[22], Spline Models for Observational Data[23]