We propose a new method to calculate Faraday rotation measure maps from multi-frequency polarisation angle data. In order to solve the so called nπ-ambiguity problem which arises from the observationally ambiguity of the polarisation angle which is only determined up to additions of ±nπ, where n is an integer, we suggest using a global scheme. Instead of solving the nπ-ambiguity for each data p...

 Ambiguity in the inputs of the models is typical especially in portfolio selection problem where the true distribution of random variables is usually unknown. Here we use robust optimization approach to address the ambiguity in conditional-value-at-risk minimization model. We obtain explicit models of the robust conditional-value-at-risk minimization for polyhedral and correlated polyhedral am...

Why don’t people in developing countries insure themselves? I propose that some households are ambiguity averse, and that these households fear any insurance contract they purchase will payout when it is not needed and will not payout when it is. I study two applications of this observation. I first study formal crop insurance, in particular index insurance and the insurance element of limited ...

An individual forms belief over event using past data. However, in some cases, for some events, it cannot be determined whether the event has occurred. When processing the data, the individual will have to make a judgment regarding the realization of the event. We present a model in which ambiguity arises precisely because of this aspect of information. Attitude towards ambiguity is determined ...

Array-aided precise point positioning (A-PPP) is a measurement concept that uses Global Navigation Satellite System (GNSS) data, from multiple antennas in an array of known geometry, to realize the improved GNSS parameter estimation. In this contribution the ambiguity resolution benefits of A-PPP for antenna-array equipped CORS stations is explored. To demonstrate the performance of array-aided...

Several authors have reported an unconditional size effect in returns around earnings announcements. In this study we show how this finding can be understood as resulting from ambiguity aversion. We hypothesize that analyst forecasts for smaller companies are relatively more ambiguous; hence they are priced pessimistically by ambiguity-averse investors. As the quarter comes to a close and ambig...