We propose a novel methodology for forecasting chaotic systems which is based on the nearest-neighbor predictor and improves upon it by incorporating local Lyapunov exponents to correct for its inevitable bias. Using simulated data, we show that gains in prediction accuracy can be substantial....

In this paper we review some Solow-type growth models, framed is discrete time, which are able to generate complex dynamic behaviour. For these models � put forward by Day (1982, 1983); B�hm and Kaas (2000); and Commendatore (2005) � we show that crucial features which could...

In this paper we review some Solow-type growth models, framed is discrete time, which are able to generate complex dynamic behaviour. For these models put forward by Day (1982, 1983); Böhm and Kaas (2000); and Commendatore (2005) we show that crucial features which could determine the emergence...

We propose a novel methodology for forecasting chaotic systems which is based on the nearest-neighbor predictor and improves upon it by incorporating local Lyapunov exponents to correct for its inevitable bias. Using simulated data, we show that gains in prediction accuracy can be substantial....