Results 261 to 270 of about 157,640 (328)
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
Bayesian Hierarchical Model for Evaluating Risk Reduction in District Hospitals Systems in Ethiopia,
Gadaa Gebreab +3 more
openalex +1 more source
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]
Pearson JF +13 more
europepmc +1 more source
What Explains International Interest Rate Co‐Movement?
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
Multiple data set Bayesian analysis synergistically boosts ITC parameter precision. [PDF]
Otten L +3 more
europepmc +1 more source
Hierarchical Bayesian Modelling of Visual Attention
openaire +1 more source
Forecasting Related Time Series
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

