Results 261 to 270 of about 157,640 (328)

Collective Risk Taking in Adolescents and Young Adults: Adolescents Take More Risks When Deciding Collectively Than Alone

open access: yesJournal of Adolescence, EarlyView.
ABSTRACT Introduction Adolescents show a heightened propensity to take risks, relative to other age groups, especially in contexts involving peers. In the current study, we investigated whether peer contexts and age interact to promote collective risk taking, that is, when groups of peers decide to take a risk together.
Gabriele Chierchia   +4 more
wiley   +1 more source

Longitudinal and Daily Links Between Impulsivity and Prosocial Behavior: The Moderating Role of Positive Risk‐Taking

open access: yesJournal of Adolescence, EarlyView.
ABSTRACT Introduction There is a growing interest in positive risk‐taking (PRT) during adolescence and young adulthood. Emerging evidence has documented positive associations of PRT with multiple positive adolescent socioemotional developmental outcomes, including prosocial behavior.
Weiyu Edith Chen, Hao Zheng, Yao Zheng
wiley   +1 more source

Bayesian Analysis of Postoperative Complication Risk Associated With Preoperative Exposure to Fine Particulate Matter: A Single-Center Cohort Study. [PDF]

open access: yesActa Anaesthesiol Scand
Pearson JF   +13 more
europepmc   +1 more source

What Explains International Interest Rate Co‐Movement?

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT The international co‐movement of interest rates reflects correlated business‐cycle fluctuations, largely driven by demand shocks. Monetary policy in advanced economies follows domestic mandates—inflation and the output gap—and does not respond to foreign policy shocks.
Annika Camehl, Gregor von Schweinitz
wiley   +1 more source

Hierarchical Bayesian Modelling of Visual Attention

open access: yesProceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014
openaire   +1 more source

Forecasting Related Time Series

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley   +1 more source

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