Abstract We empirically show that sample information not only moderates prospects’ outcome ambiguity but also decision makers’ revealed aversion of them. Since most natural prospects permit at least some inference, accounting for their degree improves prediction aversion. The special case full ambiguity, as in Ellsberg-type designs, is typically averted—yet many makers systematically like low d...

After financial crisis, the role of uncertainty in decision making processes has largely been recognized as the new variable that contributes to shaping interest rates and bond prices. Our aim is to discuss the impact of ambiguity on bonds interest rates (yields). Starting from the realistic assumption that investors ask for an ambiguity premium depending on the efficacy of government intervent...

This talk is based on a joint paper with A. Bonami and G. Garrigós [3] in which the phase retrieval problem for the Radar Ambiguity Function (i.e. the Radar Ambiguity Problem) has been tackled. In particular it was shown that for wide classes of signals, the radar ambiguity problem has a unique solution, up to trivial transformations. In the second part of the talk, we report on ongoing work by...

By using the fractional Fourier transformation of the time-domain signals, closed-form expressions for the projections of their auto or cross ambiguity functions are derived. Based on a similar formulation for the projections of the auto and cross Wigner distributions and the well known two-dimensional (2-D) Fourier transformation relationship between the ambiguity and Wigner domains, closed-fo...

Al-Najjar and Weinstein 2009 propose to scrutinize the implications of recent theories of ambiguity in dynamic settings. They conclude that such implications are so unreasonable as to cast doubts on the legitimacy of the theories under consideration. The present paper argues that the seemingly unreasonable implications highlighted by Al-Najjar and Weinstein can be understood as the result of ba...

ln this paper, we describe an approach to planning sensing slralegies dynamically, based on the system’s current best information about the world. Our approach is for the system to automatically propose a sensing operation, and then to determine the maximum ambiguity which might remain in the world description if that sensing operation were applied. The system then applies that sensing operatio...