Economics, Social Choice and Political Theory.

I have extensively worked on both the theoretical and practical aspects of decision theory, social choice theory and risk management.
I am currently working on the theory and measurement of equality of opportunity.
I am also applying economic models to optimize the R&D-process of product development.

Foundations of Probability.

I am editing an introductory collection of papers on "The Concept of Probability" aimed at an interdisciplinary audience. I am also writing an introductory textbook on the same topic.
(Traditionally, this area belongs to the Philosophy of Science.)

Foundations of Statistics.

Plausibility is a non-Bayesian notion of quantitatively graded belief, based on the following axiom: The plausibility of a conjunction is exactly as high as the plausibility of its weakest conjunct, i.e., f(A and B) = min( f(A), f(B) ). Plausibility provides a better measure for the confirmation of hypotheses
than probabilities do. Applied to statistics, plausibility measures combine the virtues of Bayesianism with the virtues of classical statistics and lead to a mathematical structure akin to Fisher's log-likelihood ratios.
(Traditionally, this area belongs to Epistemology.)
 
 

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