In this paper, we consider expected value, variance and worst-case optimization of nonlinear models. We present algorithms for computing optimal expected values, and variance, based on iterative Taylor expansions. We establish convergence and consider the relative merits of policies beaded on...

In this paper we compare expected loss minimization to worst-case or minimax analysis in the design of simple Taylor-style rules for monetary policy using a small model estimated for the euro area by Orphanides and Wieland (2000). We find that rules optimized under a minimax objective in the...

This paper summarizes the approaches, assumptions, and needed sub-models, optimization principles and data aiming at a time dependent control system minimizing the CO2 emissions from houses in the existing housing stock. It contrasts the proposed research with the many available housing energy...