Estimating conditional probability densities for periodic variables

Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce three novel techniques for tackling such problems, and investigate their performance using synthetic data. We then apply these techniques to the problem of extracting the distribution of wind vector directions from radar scatterometer data gathered by a remote-sensing satellite.

State Fragility and International Development Cooperation

Over the past few years addressing state fragility in the third world has become an important priority in international development cooperation. However, it seems that the international donor community has so far not been able to develop adequate instruments for dealing with the problems posed by state failure. We see two reasons for this: (i) there is growing recognition within the donor community that the lack of absorptive capacity, or bad economic policies in the partner country can actually make aid counterproductive, even harmful; and (ii) it is very difficult to manage effective development cooperation with weak governments. Channelling aid through NGOs, or giving limited aid in the form of capacity-building is clearly not sufficient to solve the problems fragile states face.