Browse Items (16 total)

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…

We describe the R package acebayes and demonstrate its use to find Bayesian optimal
experimental designs. A decision-theoretic approach is adopted, with the optimal design
maximizing an expected utility. Finding Bayesian optimal designs for…

Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most
popular methods. However, the ANOVA F test is sensitive to violations of…

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.…

The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function
(CDF), F(x), is continuous. However, there are many real-life applications…

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…

mlogit is a package for R which enables the estimation of random utility models with
choice situation and/or alternative specific variables. The main extensions of the basic
multinomial model (heteroscedastic, nested and random parameter models)…

GeneGeneInteR is an R package dedicated to the detection of an association between
a case-control phenotype and the interaction between two sets of biallelic markers (single
nucleotide polymorphisms or SNPs) in case-control genome-wide associations…

MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS
that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC)
algorithms to speed up posterior inference of Bayesian models. The algorithm…

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…