Last update: 3 September 2008


Research
Preprints and Suppl. Material
Publications


Teaching

MSc Lancaster University
Statistics S1C
Probability S2R
Survival 3H
Project 3h
Project 4h
Time Series 4h
Postgrad meetings
Latex in 7 Minutes

Liverpool, May 07


How to reach me?
Address Information
Email Ernst Wit


Resources & Links
Computer help page
University Computing
U of G Library
E-journals
University of Glasgow
Glasgow Stat Dept
Statistics around the world
Weather in Glasgow


"Pretentious? Moi?"
Resume (PDF)
Publications by E. C. Wit


Philosophy
Classnotes in Phil of Science
Some philosophy papers


Fun stuff
Carolina's website
The Savage Mind!
Recipes
Nephew Ajun's Website
Fun with Linguistics
Publish or not?
Pat's Westend of Glasgow page
Ernst's random mix of poetry
Jip en Janneke translation
Christine Keeler, Lewis Morley



Statistics for Microarrays
Design, Analysis and Inference

Ernst Wit and John McClure

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 statistical bioinformatics, systems biology, optimal design and algebraic approaches to statistics.

From June 2006 until Deceber 2008, Ernst Wit is the Honorary Secretary of the Research Section of the Royal Statistical Society, which is responsible for administrating the RSS Read Papers at its Ordinary Meetings. In this role, I would like to invite anyone to email me groundbreaking statistical manuscripts for consideration as a Read Paper.

Research Interests. His research focusses on the statistical design of microarray experiments and he exploring the possibility of the development of dynamic Bayesian models, such as Hidden Markov Chains, for gene network modelling. Dr E WitDr Wit's 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.

Collaborations. Systems biology: Raya Khanin, Veronica Vinciotti, Vilda Purutcuoglu, Angela Grassi. Statistical bioinformatics: David Bakewell, Yongxiang Fang, Ximin Zhu, Elisa Grilli, Alessandra Brazzale. Computational Biology: Steve Paterson, Andy Cossins. Algebraic Statistics: Peter McCullagh. And many others.

In the past Dr Wit has worked on likelihood procedures for mixture models.

Dr Wit also holds a Ph.D. in philosophy, and he continues to hold this science dearly. In the area of Philosophy his interests are Game Theory and Ethics and Kantian Philosophy. Working with Dr Marie Gillette in Pennsylvania, Dr Wit is interested in a systematic study of Linguistic Redundancy (PDF)).