The world is becoming increasingly complex, with larger quantities of data available to be
analyzed. It so happens that much of these" big data" that are available are spatio-temporal …

Motivation Determining whether a trait and phylogeny share some degree of phylogenetic
signal is a flagship goal in evolutionary biology. Signatures of phylogenetic signal can assist …

In this paper 1, we study matrix scaling and balancing, which are fundamental problems in
scientific computing, with a long line of work on them that dates back to the 1960s. We …

R is a great choice for marketing analysts. It offers unsurpassed capabilities for fitting
statistical models. It is extensible and able to process data from many different systems, in a …

Dieses Buch liefert eine an human-und sozialwissenschaftlichen Anwendungen orientierte
Einführung in die Datenauswertung mit R. R ist eine freie Umgebung zur umfassenden …

Background: Recent studies of various human microbiome habitats have revealed
thousands of bacterial species and the existence of large variation in communities of …

Mortality is a key process in ecology and evolution, and much effort is spent on development
and application of statistical and theoretical models involving mortality. Mortality takes place …

The geographic pattern of cropland is an important risk factor for invasion and saturation by
crop-specific pathogens and arthropods. Understanding cropland networks supports smart …

A phase-type distribution is the time to absorption in a continuous-or discrete-time Markov
chain. Phase-type distributions can be used as a general framework to calculate key …

For health-economic analyses that use multistate Markov models, it is often necessary to
convert from transition rates to transition probabilities, and for probabilistic sensitivity …