Browsing Statistics by Published Date "2012"

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Browsing Statistics by Published Date "2012"

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  • Cao, J.; Yao, Weixin (2012-05-24)
    Many historical datasets contain a large number of zeros, and cannot be modeled directly using a single distribution. Motivated by rain data from a global climate model, we study a semiparametric mixture of binomial ...
  • Bai, Xiuqin; Yao, Weixin; Boyer, John E. (2012-06-18)
    The existing methods for tting mixture regression models assume a normal dis- tribution for error and then estimate the regression parameters by the maximum likelihood estimate (MLE). In this article, we demonstrate ...
  • Sundar, Raghav Prashant; Becker, Mark W.; Bello, Nora M.; Bix, Laura (2012-08-01)
    Adverse drug events (ADEs) are a significant problem in health care. While effective warnings have the potential to reduce the prevalence of ADEs, little is known about how patients access and use prescription labeling. ...
  • Yao, Weixin (2012-05-17)
    Label switching is one of the fundamental problems for Bayesian mixture model analysis. Due to the permutation invariance of the mixture posterior, we can consider that the posterior of a m-component mixture model is a ...
  • Huang, Mian; Yao, Weixin (2012-09-13)
    In this article, we study a class of semiparametric mixtures of regression models, in which the regression functions are linear functions of the predictors, but the mixing proportions are smoothing functions of a covariate.We ...
  • Yao, Weixin; Lindsay, Bruce G.; Li, Runze (2012-11-08)
    A local modal estimation procedure is proposed for the regression function in a nonparametric regression model. A distinguishing characteristic of the proposed procedure is that it introduces an additional tuning parameter ...
  • Zhang, Hongyan; Wang, Haiyan; Dai, Zhijun; Chen, Ming-Shun; Yuan, Zheming (2013-04-02)
    Background: Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish ...
  • Zhou, Wei; Zhijun, Dai; Chen, Yuan; Wang, Haiyan; Yuan, Zheming (2012-05-11)
    To design ARC-111 analogues with improved efficiency, we constructed the QSAR of 22 ARC-111 analogues with RPMI8402 tumor cells. First, the optimized support vector regression (SVR) model based on the literature descriptors ...
  • Li, Jinliang; Wang, Lifeng; Wang, Haiyan; Bai, Lianyang; Yuan, Zheming (2013-04-03)
    Identification of splice sites plays a key role in annotation of genes and hence, the improvement of computational prediction of splice sites with high accuracy has great significance. In this article, we first quantitatively ...
  • Ghimire, Santosh; Wang, Haiyan (2012-07-19)
    In this article, we introduce a new method of image pixel classification. Our method is a nonparametric classification method which uses combined evidence from the multiple hypothesis testings and minimum distance to carry ...
  • Yao, Weixin (2012-05-17)
    In this article, we propose a new method of bias reduction in nonparametric regression estimation. The proposed new estimator has asymptotic bias order h4, where h is a smoothing parameter, in contrast to the the usual ...
  • Yao, Weixin (2012-07-11)
    Label switching is one of the fundamental issues for Bayesian mixture modeling. It occurs due to the nonidentifiability of the components under symmetric priors. Without solving the label switching, the ergodic averages ...
  • Wang, Qin; Yao, Weixin (2012-05-24)
    Minimum average variance estimation (MAVE, Xia et al: 2002) is an effective dimension reduction method. It requires no strong probabilistic assumptions on the predictors, and can consistently estimate the central mean ...

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