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Peter Harremoës, Ph.D.

Bio

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.

Research Fields

Probability Theory

Editorial Board Memberships
Current Memberships
Pre Publication Reviews

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Reviews

30

Reviews (last 12 months)

7

Reviews (average per year)

5

Merit

91

Openness

0.0%

Acceptance rate

13.3%


Impact factors of journals reviewed for

The distribution of the impact factors of journals Peter Harremoës, Ph.D. has reviewed for.

Peter Harremoës, Ph.D.

Computer Science (all) reviewers

Total reviews over time

A cumulative record of Peter Harremoës, Ph.D.'s total number of reviews.

Reviews per month

The total number of reviews performed by Peter Harremoës, Ph.D. each month.

Average review length

The average number of words per review (for which we have content), compared to the average of Computer Science (all) reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to Computer Science (all) reviewers and reviewers at affiliated institutions.