The article analyses the prediction of cognitive, affective and contextual factors to Subjective Wellbeing (SWB). Four different components of SWB were used in order to identify its different predictors. A sample of 303 adult students was collected and reassessed over a twomonth interval. Seven instruments were used to measure: Global Subjective Wellbeing; Satisfaction with Life in Domains; Pos...

A DEA-based stochastic estimation framework is presented to evaluate contextual variables affecting productivity. Conditions are identified under which a two-stage procedure consisting of DEA followed by regression analysis yields consistent estimators of the impact of contextual variables. Conditions are also identified under which DEA in the first stage followed by maximum likelihood estimati...

Given the power imbalance between students and faculty members, many studies on email communication have focused how requests are performed in an academic setting. Research has illustrated that power-incongruent emails can lead to pragmatic failure cause a negative effect recipient. The present study explores contextual variables, such as social distance, imposition perceived by EFL three diffe...

Context-aware recommendation (CARS) has been shown to be an effective approach to recommendation in a number of domains. However, the problem of identifying appropriate contextual variables remains: using too many contextual variables risks a drastic increase in dimensionality and a loss of accuracy in recommendation. In this paper, we propose a novel treatment of context – identifying influent...

Direct contextual policy search methods learn to improve policy parameters and simultaneously generalize these parameters to different context or task variables. However, learning from high-dimensional context variables, such as camera images, is still a prominent problem in many real-world tasks. A naive application of unsupervised dimensionality reduction methods to the context variables, suc...

Two-stage data envelopment analysis (2-DEA) is commonly used in productive efficiency analysis to estimate the effects of operational conditions and practices on performance. In this method the DEA efficiency estimates are regressed on contextual variables representing the operational conditions. We reexamine the statistical properties of the 2-DEA estimator, and find that it is statistically c...