Browsing Statistics by Title

K-REx Repository

Browsing Statistics by Title

Sort by: Order: Results:

  • A lack-of-fit test in Tobit errors-in-variables regression models
    Song, Weixing; Yao, Weixin (2011)
    The problem of fitting a parametric model in Tobit errors-in-variables regression models is discussed in this paper. The proposed test is based on the supremum of the Khamaladze type transformation of a certain partial ...
  • Local modal regression
    Yao, Weixin; Lindsay, Bruce G.; Li, Runze (2012)
    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 ...
  • Mixture of regression models with varying mixing proportions: a semiparametric approach
    Huang, Mian; Yao, Weixin (2012)
    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 ...
  • Model based labeling for mixture models
    Yao, Weixin (2012)
    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 ...
  • A nonparametric-test-based structural similarity measure for digital images
    Wang, Haiyan; Maldonado, Diego; Silwal, Sharad (2011)
    In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures,such as the mean squared error (MSE) and ...
  • A note on EM algorithm for mixture models
    Yao, Weixin (2013)
    Expectation-maximization (EM) algorithm has been used to maximize the likelihood function or posterior when the model contains unobserved latent variables. One main important application of EM algorithm is to find the ...
  • A profile likelihood method for normal mixture with unequal variance
    Yao, Weixin (2010)
    It is well known that the normal mixture with unequal variance has unbounded likelihood and thus the corresponding global maximum likelihood estimator (MLE) is undefined. One of the commonly used solutions is to put a ...
  • Quantifying age-related differences in information processing behaviors when viewing prescription drug labels
    Sundar, Raghav Prashant; Becker, Mark W.; Bello, Nora M.; Bix, Laura (2012)
    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. ...
  • Robust fitting of mixture regression models
    Bai, Xiuqin; Yao, Weixin; Boyer, John E. (2012)
    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 ...
  • Robust variable selection through MAVE
    Yao, Weixin; Wang, Qin (2013)
    Dimension reduction and variable selection play important roles in high dimensional data analysis. The sparse MAVE, a model-free variable selection method, is a nice combination of shrinkage estimation, Lasso, and an ...
  • Semiparametric mixture of binomial regression with a degenerate component
    Cao, J.; Yao, Weixin (2012)
    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 ...
  • Sheep laterality
    Anderson, Dean M.; Murray, Leigh W. (2013)
    Turning preferences among 309 white-faced ewes were individually evaluated in an enclosed, artificially lighted, T-maze, followed by each ewe choosing either a right or left return alley to return to peers. Data recorded ...
  • TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection
    Wang, Haiyan; Zhang, Hongyan; Dai, Zhijun; Chen, Ming-shun; Yuan, Zheming (2013)
    Background: One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair ...