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- Roderick J. A. Little, Yuedong Wang
- Biometrics
- 1996

Pattern-mixture models stratify incomplete data by the pattern of missing values and formulate distinct models within each stratum. Pattern-mixture models are developed for analyzing a random sampleâ€¦ (More)

- Tiejun Tong, Yuedong Wang
- 2005

We propose a new estimator for the error variance in a nonparametric regression model. We estimate the error variance as the intercept in a simple linear regression model with squared differences ofâ€¦ (More)

- Li Qin, Yuedong Wang
- 2008

Understanding the seizure initiation process and its propagation pattern(s) is a critical task in epilepsy research. Characteristics of the pre-seizure electroencephalograms (EEGs) such asâ€¦ (More)

- Anna Liu, Yuedong Wang
- 2002

Nonparametric regression models are often used to check or suggest a parametric model. Several methods have been proposed to test the hypothesis of a parametric regression function against anâ€¦ (More)

- Grace Wahba, Yuedong Wang
- 1993

It has been noticed by several authors that there is a small but non-zero probability that the GCV estimate 2 of the smoothing parameter in spline and related smoothing problems will he extremelyâ€¦ (More)

- Yuedong Wang, Chunlei Ke
- 2008

We consider the problem of modeling the mean function in regression. Often there is enough knowledge to model some components of the mean function parametrically. But for other vague and/or nuisanceâ€¦ (More)

- Yuqi Chen, Pang Du, Yuedong Wang
- 2013

Variable selection in linear models is essential for improved inference and interpretation, an activity which has become even more critical for high dimensional data. In this article, we provide aâ€¦ (More)

This article considers testing the hypothesis of Generalized Linear Models (GLM) versus general smoothing spline models for data from exponential families. The tests developed are based on theâ€¦ (More)

- Yu-Chieh Yang, Anna Yun-Wen Liu, Yuedong Wang
- Biometrics
- 2006

Neuroendocrine ensembles communicate with their remote and proximal target cells via an intermittent pattern of chemical signaling. The identification of episodic releases of hormonal pulse signalsâ€¦ (More)

- Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, Barbara E. Klein
- NIPS
- 1993

We describe the use of smoothing spline analysis of variance (SSANOVA) in the penalized log likelihood context, for learning (estimating) the probability p of a '1' outcome, given a training set withâ€¦ (More)