Editorial: Forecast verification methods across time and space scales – Part I

Interaction patterns of brain activity across space, time and frequency. Part I: methods

We consider exploratory methods for the discovery of cortical functional connectivity. Typically, data for the i-th subject ( 1... S i N  ) is represented as V T N N i   X , corresponding to brain activity sampled at T N moments in time from V N cortical voxels. A widely used method of analysis first concatenates all subjects along the temporal dimension, and then performs an independent com...

Hybrid Systems: Reasoning across Scales in Space and Time

Emergy Evaluation of Italian Agriculture Across Space and Time Scales

This paper evaluates in emergy terms the resource use and environmental performance of the Italian agricultural sector across levels, from local scale (olive, lemon and grape farms), through regional scale (Campania region) up to the national scale (whole Italy). The evolution over time (from 1985 to 2006) is also investigated to take into account how the demand for environmental support change...

Expected Returns Across Time Scales

This paper studies the role of ‡uctuations in the aggregate price-earning ratio at di¤erent time scales for predicting stock returns and explore the channels through which returns are predicted. Using U.S. quarterly and international monthly data, we …nd that cycles in the price-earning ratio are strong and better predictors of future returns at short and intermediate horizons than the aggregat...

Part I: Using Verification Metrics

We examine how passive and active observations are useful to evaluate an air quality 9 analysis. By leaving out observations from the analysis, we form passive observations, and the 10 observations used in the analysis are called active observations. We evaluated the surface air quality 11 analysis of O3 and PM2.5 against passive and active observations using standard model verification 12 metr...