Appendices A, B and C prove the main theoretical results in the paper. Appendix D contains
algorithmic details. Appendix E discusses approaches for computing maximum entropy …

The present paper proposes a generalization of linearity axioms of coherence through a
geometrical approach, which leads to an alternative interpretation of desirability as a …

We introduce a new generalization of relative entropy to non-negative vectors with sums $\gt
1$. We show in a purely combinatorial setting, with no probabilistic considerations, that in …

This paper presents an interpretation as classification problem for standard desirability and
other instances of nonlinear desirability (convex coherence and positive additive …

The past century witnessed significant achievements in classical scientific fields like
decision theory, social choice theory, and Bayesian probability, all rooted in the common …

The past century witnessed significant achievements in classical scientific fields like
decision theory, social choice theory, and Bayesian probability, all rooted in the common …

Roughly speaking this work starts with the scope to find new strategies of summary
information appraisal, allowing for implementation of non-standard meta-analytic models …

When analyzing the reliability of low‐voltage switchgear by Bayesian method, the maximum
entropy multisource information fusion method was proposed to obtain the prior information …

The phenomenon of entropy concentration provides strong support for the maximum entropy
method, MaxEnt, for inferring a probability vector from information in the form of constraints …