Computation
Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with Ciprian M. Crainiceanu and David Ruppert), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...
Longitudinal Data Analysis and Time Series
Semiparametric Estimation in General Repeated Measures Problems (with Xihong Lin), Harvard University Biostatistics Working Paper Series (2005)
This paper considers a wide class of semiparametric problems with a parametric part for some...
Multivariate Analysis
Semiparametric Estimation in General Repeated Measures Problems (with Xihong Lin), Harvard University Biostatistics Working Paper Series (2005)
This paper considers a wide class of semiparametric problems with a parametric part for some...
Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with Ciprian M. Crainiceanu and David Ruppert), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...
Statistical Models
Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with Ciprian M. Crainiceanu and David Ruppert), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...
Statistical Theory and Methods
Semiparametric Estimation in General Repeated Measures Problems (with Xihong Lin), Harvard University Biostatistics Working Paper Series (2005)
This paper considers a wide class of semiparametric problems with a parametric part for some...