by the literature using two main strategies: data transformation and diffuse likelihood. The data transformation approach … is cumbersome, as it requires nonstandard filtering. On the other hand, in some nontrivial cases the diffuse likelihood … value depends on the scale of the diffuse states, so one can obtain different likelihood values corresponding to different …

We formalize the notion of a diffuse prior and show that, in stationary games, strategies which admit well …-defined expected payoffs under the diffuse prior are essentially stationary. We define the diffuse prior through a limit construction …

In solar energy applications, diffuse solar radiation component is required. Solar radiation data particularly in terms … of diffuse component are not readily affordable, because of high price of measurements as well as difficulties in their … maintenance and calibration. In this study, new empirical models for predicting the monthly mean diffuse solar radiation on a …

increase of non-traded goods used as inputs in the manufacturing sector. Although, the impact of interaction terms of diffuse … resource (wheat) production and institutional quality is not observed, diffuse resources deteriorate the economic growth …