Durham University

Department of Mathematical Sciences


Publication details for Matthias Troffaes

Troffaes, Matthias C. M., Coolen, Frank P. A. & Destercke, Sebastien (2014), A Note on Learning Dependence Under Severe Uncertainty, Communications in Computer and Information Science 444: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Montpellier, France, Springer, Montpellier, 498-507.

Author(s) from Durham


We propose two models, one continuous and one categorical, to learn about dependence between two random variables, given only limited joint observations, but assuming that the marginals are precisely known. The continuous model focuses on the Gaussian case, while the categorical model is generic. We illustrate the resulting statistical inferences on a simple example concerning the body mass index. Both methods can be extended easily to three or more random variables.


15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014.