Last update: 5 October 2012

Preprints and Suppl. Material


Current courses

How to reach me?
Address Information
Email Ernst Wit

Resources & Links
Computer help page
Statistics around the world

"Pretentious? Moi?"
Resume (PDF)

Classnotes in Phil of Science
Some philosophy papers

Fun stuff
Fun with Linguistics
Ernst's random mix of poetry
Jip en Janneke translation

Statistics for Microarrays
Design, Analysis and Inference

Ernst Wit and John McClure

More information about Statistics Group

Professor Ernst Wit is the Chair of Statistics and Probability at the University of Groningen and he has a wide interest in the field and applications of Statistics, ranging from high-dimensional inference, network analyses, statistical bioinformatics, systems biology, optimal design and algebraic approaches to statistics.

Research Interests. My research interests focus on (i) network inference, (ii) high-dimensional inference, design and model choice (iii) with applications in biology, with a special interest in ageing research (iv) RFID tracking and inference of the behaviour of museum visitors.

Collaborations. Systems biology: Veronica Vinciotti, Vilda Purutcuoglu, Javier Gonzalez and Fentaw Abegaz. Statistical bioinformatics: David Bakewell. Computational Biology: Matthias Heinemann, Barbara Bakker. Algebraic Statistics: Peter McCullagh. And many others.

My other research interest is in the introduction of extendibility conditions for statistical models. In this algebraic approach to statistics, the use of category theory is proposed to describe certain desirable invariance principles any sensible statistical model should possess, as well as to yield a constructive algorithm for a certain class of these models. In the past I worked on likelihood procedures for mixture models. I also hold a Ph.D. in philosophy, and I continue to hold this science dearly. In the area of Philosophy my interests are Game Theory and Ethics and Kantian Philosophy. Working with Dr Marie Gillette in Pennsylvania, I have been interested in a systematic study of Linguistic Redundancy.