Mathematica's unified architecture allows every aspect of Mathematica's interface to be controlled and specified programmatically using the symbolic constructs and functions ...

Mathematica includes a variety of image segmentation techniques such as clustering, watershed, region growing, and level set as well as a rich set of functions for ...

Mathematica's symbolic architecture makes possible a uniquely convenient approach to working with statistical models. Starting from arbitrary data, Mathematica generates ...

Mathematica allows data stored in standard systems formats to be analyzed and synthesized using the full power of Mathematica.

Urn models have a long history, starting with Laplace suggesting in 1786 that France's population be estimated by an urn-sampling scheme. They are conceptually relatively ...

Matrices are represented in Mathematica with lists. They can be entered directly with the { } notation, constructed from a formula, or imported from a data file. Mathematica ...

These "How tos" give step-by-step instructions for common tasks related to statistics in Mathematica .

Of the many ways images can be loaded into a Mathematica notebook, Import is the main method used to access image files on your local computer or at a remote location. The ...

One of the most common statistical models is the linear regression model. A linear model predicts the value of a response variable by the linear combination of predictor ...

The integrated visualization capabilities of Mathematica provide many tools to show data in 3D. The ability to plot points, surfaces, and contours, combined with the ...