Probabilistic forecasts are often employed to estimate the potential for high pollutant concentrations. To develop a probabilistic forecast of ozone concentrations, we suggest that use be made of the inherent properties of seasonality and autocorrelation in 0, time series. A non-stationary, autocorrelated stochastic process is used to simulate a conditional probability density function (p.d.f.)...

This study evaluates the relative influence of social vs bioclimatic factors on cross-national variation in the magnitude of spring suicide peaks. Time series and cross-sectional data for 28 countries are analyzed using bivariate plots and simple correlation. Suicide seasonality (both overall and specifically as manifest by the presence of a sizeable spring peak) is positively correlated with s...

Season of birth is associated with later outcomes; what drives this association remains unclear. We consider a new explanation: variation in maternal characteristics. We document large changes in maternal characteristics for births throughout the year; winter births are disproportionally realized by teenagers and the unmarried. Family background controls explain nearly half of season-of-birth's...

In this paper we discuss human behavior in interaction with information available on the Web via search. We consider seasonality as a novel source of context for Web search and discuss the possible impact it could have on search results quality. Seasonality is used in recommender systems as an attribute of the recommended item that might influence its perceived usefulness for particular user. W...