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Wang, Yuedong - Department of Statistics and Applied Probability, University of California at Santa Barbara
USING SMOOTHING SPLINE ANOVA TO EXAMINE THE RELATION OF RISK FACTORS TO THE INCIDENCE AND
Detecting Pulsatile Hormone Secretions Using Nonlinear Mixed E#ects Partial Spline Models
Optimal Shrinkage Estimation of Variances with Applications to Microarray Data Analysis
Detecting Pulsatile Hormone Secretions Using Nonlinear Mixed Effects Partial Spline Models
Existence and Uniqueness of Penalized Least Square Estimation for Smoothing Spline
Sample Size Calculations for Smoothing Splines
Smoothing Spline Semi-parametric Nonlinear Regression Models Yuedong Wang and Chunlei Ke
Nonparametric variance estimation in the analysis of microarray data: a measurement error approach
Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG
Modeling of Hormone Secretion-Generating Mechanisms With Splines: A Pseudo-Likelihood
Estimating residual variance in nonparametric regression using least squares
Nonlinear Nonparametric Regression Models Chunlei Ke and Yuedong Wang
Shape Invariant Modelling of Circadian Rhythms with Random Effects and
Nonparametric Regression with Correlated Errors Jean Opsomer
DEPARTMENT OF STATISTICS University of Wisconsin
UNIVERSITY OF CALIFORNIA, SANTA BARBARA Department of Statistics and Applied Probability
PSTAT 5E Mid-Quarter EXAM Exam Time: Tuesday February 14, 12:30-1:45 p.m.
PSTAT 5E Feb. 14, 2006 PSTAT 5E Midquarter Examination, Winter 2006
PSTAT 5E Feb.14, 2006 PSTAT 5E Midquarter Examination, Winter 2006
Variance Estimation in the Analysis of Microarray Data Yuedong Wang
Shape Invariant Modelling of Circadian Rhythms with Random E#ects and
Estimating residual variance in nonparametric regression using least squares
Hypothesis Testing in Smoothing Spline Models Anna Liu and Yuedong Wang
DEPARTMENT OF STATISTICS University of Wisconsin
A Flexible Model For Human Circadian Rhythms Yuedong Wang and Morton B. Brown
PULSE: A Suite of R Functions for Detecting Pulsatile Hormone Secretions
Existence and Uniqueness of Penalized Least Square Estimation for Smoothing Spline
ASSIST: A Suite of S functions Implementing Spline smoothing Techniques
Hypothesis Testing in Smoothing Spline Models Anna Liu and Yuedong Wang
GRKPACK: FITTING SMOOTHING SPLINE ANOVA MODELS FOR EXPONENTIAL FAMILIES
On Implementation of the Markov Chain Monte Carlo Stochastic Approximation Algorithm
PULSE: A Suite of R Functions for Detecting Pulsatile Hormone Secretions
Spline Smoothing For Bivariate Data With Applications To
Odds Ratio Estimation in Bernoulli Smoothing Spline ANOVA Models
DEPARTMENT OF STATISTICS University of Wisconsin
Simulation Studies of Smoothing Parameter Estimates and Bayesian Confidence Intervals in Bernoulli SS ANOVA Models
Midterm Key Winter 2006
Generalized Nonparametric Mixed E ects Models Peter Karcher and Yuedong Wang
A signal extraction approach to modeling hormone time series with pulses and a changing baseline
Semi-parametric Nonlinear Mixed E ects Models and Their Applications
Nonlinear Nonparametric Regression Models Chunlei Ke and Yuedong Wang #
ASSIST: A Suite of S functions Implementing Spline smoothing Techniques
1. There was a mistake in the original Arosa ozone data: all measurements are shifted by 6 months. Therefore some of the plots for Arosa ozone data are shifted by 6 months. New plots are shown