SOME GRAPHICAL METHODS

Graphical Models and Variational Methods

Graphical Methods for Categorical Data

The graphical displays shown here are implemented in SAS/IML software whose combination of matrix operations, built-in Statistical methods for categorical data, such as loglinear models functions for contingency table analysis, and graphics provide a and logistic regression, represent discrete analogs of the analysis of convenient environment for graphical display for multiway variance and regr...

Variational Methods for Graphical Models

∗a summary of [JGJS99] †[email protected] problem [Coo87]. Thus, as in other areas, the research focus has shifted from finding exact algorithms, towards finding good approximation schemes. Nevertheless there are important special instances of graphical models, e.g. trees, where exact algorithms are efficient. And, as we will see, even in the framework of variational methods, we want to use e...

Graphical methods in statistical analysis.

The idea of graphical presentation of statistical data is a relatively recent development as compared with geometry , algebra, or even probability theory (18). The techniques of graphical presentation of data are still rapidly de­ veloping, as statistical theory opens new ways of thinking about data, and as using the capabilities of modem computers increasingly reshapes the body of . statistica...

Graphical Methods for Marketing Research

Correspondence analysis, multiple correspondence analysis, preference mapping, and multidimensional preference analysis are descriptive statistical methods that generate graphical displays from data matrices. These methods are used by marketing researchers to investigate relationships among products and individual differences in preferences for those products. The end result is a twoor three-di...