Biplots of Multivariate Data Guided by Linear and/or Logistic Regression
نویسندگان
چکیده
منابع مشابه
Bayesian multivariate logistic regression.
Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual outcomes. In addition, difficulties arise when simple noninformative priors are chosen for the covariance parameters. Motivated by these problems, we propose a new type of multivariate logistic dis...
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In this paper, we use multivariate logistic regression models to incorporate correlation among binary response data. Our objective is to develop a variable subset selection procedure to identify important covariates in predicting correlated binary responses using a Bayesian approach. In order to incorporate available prior information, we propose a class of informative prior distributions on th...
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2 SUMMARY Regression problems with a number of related response variables are typically analyzed by separate multiple regressions. This paper shows how these regressions can be visualized jointly in a biplot based on reduced-rank regression. Reduced-rank regression combines multiple regression and principal components analysis and can therefore be carried out with standard statistical packages....
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2013
ISSN: 2287-7843
DOI: 10.5351/csam.2013.20.2.129