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- David Ruppert, Matt P. Wand, Raymond J. Carroll
- Electronic journal of statistics
- 2009

Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology - thusâ€¦ (More)

- Christine M. Anderson-Cook, Raymond J. Carroll, +10 authors Andrzej T GaÅ‚ecki

427 describes some of the aspects of analysis for designs where multiple responses are collected. Because most experiments have this feature, understanding the opportunities and challenges for thisâ€¦ (More)

We consider the problem of testing null hypotheses that include restrictions on the variance component in a linear mixed model with one variance component. We derive the finite sample and asymptoticâ€¦ (More)

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, inâ€¦ (More)

Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixedâ€¦ (More)

- David Ruppert
- 1997

A data-based local bandwidth selector is proposed for nonparametric regression by local tting of polynomials. The estimator, called the empirical-bias bandwidth selector (EBBS), is rather simple andâ€¦ (More)

- Yingxing Li, David Ruppert
- 2007

The asymptotic behaviour of penalized spline estimators is studied in the univariate case. We use B -splines and a penalty is placed on mth-order differences of the coefficients. The number of knotsâ€¦ (More)

- David Ruppert
- 1995

The conditional variance function in a heteroscedastic, nonparametric regression model is estimated by linear smoothing of squared residuals. Attention is focussed on local polynomial smoothers. Bothâ€¦ (More)

We present a Bayesian approach to model calibration when evaluation of the model is computationally expensive. Here, calibration is a nonlinear regression problem: given data vector Y correspondingâ€¦ (More)

- Tatiyana V. Apanasovich, David Ruppert, +4 authors Raymond J. Carroll
- Biometrics
- 2008

Motivated by the spatial modeling of aberrant crypt foci (ACF) in colon carcinogenesis, we consider binary data with probabilities modeled as the sum of a nonparametric mean plus a latent Gaussianâ€¦ (More)