Times between consecutive events are often of interest in medical studies. Usually the events represent different states of the disease process and are modeled using multi-state models. This paper introduces and studies a feasible estimation method for the transition probabilities in a...

An efficient MCMC algorithm is presented to cluster the nodes of a network such that nodes with similar role in the network are clustered together. This is known as block-modeling or block-clustering. The model is the stochastic blockmodel (SBM) with block parameters integrated out. The...

The challenges of estimating hierarchical spatial models to large datasets are addressed. With the increasing availability of geocoded scientific data, hierarchical models involving spatial processes have become a popular method for carrying out spatial inference. Such models are customarily...

MM*STAT is a HTML-based and flexibly applicable computer tool for supporting teaching and learning statistics in introductory courses via the internet or from a CD. It can be used in class rooms or for reviewing the lecture subjects by the students on their own. The main elements of MM*STAT are:...

MM*STAT is a HTML-based and flexibly applicable computer tool for supporting teaching and learning statistics in introductory courses via the internet or from a CD. It can be used in class rooms or for reviewing the lecture subjects by the students on their own. The main elements of MM*STAT are:...