My research is centred on information theory. One of my interests is how to use ideas from information theory to derive results in probability theory. Many of the most important reslts in probability theory are convergence theorems, and many of these convergence theorems can be reformulated so that they state that the entropy of a system increases to a maximum or that a divergence converge to a minimum. These ideas are also relevant in the theory of statistical tests. Recently I have formalized a method for deriving Jeffreys prior as the optimal prior using the minimum description lenght principle. I am also interested in quantum information theory, and I think that information theory sheds new light on the problems of the foundation of quantum mechanics. In a sense the distinction between matter and information about matter disappear on the quantum level. Combining this idea with group representations should be a key to a better understanding of quantum theory. I have also worked on the relation between Bayesian networks and irreversibility, and my ultimate goal is to build a bridge between these ideas and information theory. I am working on a new theory where methods from lattice theory are used. I think lattices of functional dependence will provide a more transparent framework to describe causation. Hopefully it will lead to better algorithms for detecting causal relationship, but the most important application might be in our description of quantum systems, where we know that our usual notion of causation break down.
Editor Records (manuscripts handled as editor)
Has reviewed for
Showing 6 of 15
Pre Publication Reviews
Your statistics are calculated based on the information you have submitted to Publons.
Read more about them here.
Compare your statistics to those of any research field on Publons using the form below. Leaving the form blank will compare your statistics to all research fields on Publons.
Reviews (last 12 months)
Reviews (average per year)
Journal Impact Factors of journals reviewed for
The distribution of the Journal Impact Factors of journals Peter Harremoes has reviewed for.
All fields reviewers
Total reviews over time
A cumulative record of Peter Harremoes' total number of reviews.
Reviews per month
The total number of reviews performed by Peter Harremoes each month.
Average review length
The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.
Weekly review punchcard
The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.