We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Early information systems were mainly built around secondary, administrative processes of the value chain (e.g. accounting). But since the internet came into use, more and more pr...
Over the past several decades, psycholinguists have gained countless insights into the process of child language acquisition. Can these findings be used for the development of lang...
A graph U is (induced)-universal for a class of graphs X if every member of X is contained in U as an induced subgraph. We study the problem of finding a universal graph with min...
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...