This study focuses on the relationship between the use of specific cognitive emotion regulation strategies and emotional problems. Two samples were included: 99 adults from a clinical population and 99 matched non-clinical adults. Data was obtained in both groups on the use of nine cognitive emotion regulation strategies: self-blame, other-blame, rumination, catastrophizing, putting into perspe...

Gradient boosting algorithms construct a regression predictor using linear combination of “base learners”. Boosting also offers an approach to obtaining robust non-parametric estimators that are scalable applications with many explanatory variables. The algorithm is based on two-stage approach, similar what done for regression: it first minimizes residual scale estimator, and then improves by o...

S U M M A R Y Least-squares linear regression is so popular that it is sometimes applied without checking whether its basic requirements are satisfied. In particular, in studying earthquake phenomena, the conditions (a) that the uncertainty on the independent variable is at least one order of magnitude smaller than the one on the dependent variable, (b) that both data and uncertainties are norm...

dental caries is one of the most preventable yet prevalent chronic diseases worldwide. our objective was to evaluate the effect of family structure and behavioral and eyesight problems as they relate to caries severity in schoolchildren.this research was carried out on 845 primary schoolchildren aged 9 yr in kerman, iran, in 2012. ten variables, including health records, family structure inform...

Over the last few decades, various methods have been proposed for estimating prediction intervals in regression settings, including Bayesian methods, ensemble direct interval estimation and conformal methods. An important issue is calibration of these methods: generated should a predefined coverage level, without being overly conservative. In this work, we review above four classes from concept...