Browse Items (16 total)

Image reconstruction from noisy data has a long history of methodological development
and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach…

Large networks of queueing systems model important real-world systems such as
MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals.
To model such systems accurately, we must infer queueing parameters from data.…

We describe the features and implementation of the R package zenplots (zigzag expanded navigation plots) for displaying high-dimensional data according to the recently
proposed zenplots.
By default, zenplots lay out alternating one- and…

The Data Envelopment Analysis Toolbox is a new package for MATLAB that includes
functions to calculate the main data envelopment analysis models. The package includes
code for the standard radial input, output and additive measures, allowing for…

Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife
surveys. N-mixture models enable quantification of detection probability and, under…

Clustered covariances or clustered standard errors are very widely used to account for
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…