Results 161 to 170 of about 15,886 (254)
Abstract Latinos have moved politically right in the last few years in United States elections, with the percentage of Latinos supporting the Republican presidential candidate at an all‐time high in the 2024 elections. The purpose of this study is to better understand this shift, particularly as it relates to the social psychology of identity in ...
Matt Lamb +2 more
wiley +1 more source
Frailty models are very useful for analysing correlated survival data, when observations are clustered into groups or for recurrent events. The aim of this article is to present the new version of anR package called frailtypack.
Virginie Rondeau +2 more
doaj
S-estimation for penalized regression splines
This paper is about S-estimation for penalized regression splines. Penalized regression splines are one of the currently most used methods for smoothing noisy data. The estimation method used for fitting such a penalized regression spline model is mostly based on least squares methods, which are known to be sensitive to outlying observations.
Tharmaratnam, Kukatharmini +3 more
openaire +1 more source
Growth Standards for Children With Smith–Magenis Syndrome (SMS)
ABSTRACT Smith–Magenis syndrome (SMS, OMIM 182290) is a complex syndromic diagnosis marked by neurobehavioral differences and distinct facial dysmorphisms, caused by haploinsufficiency of the retinoic acid‐1 (RAI1) gene either by a pathogenic sequence variant or deletion at chromosome 17p11.2 involving a portion or all of this gene.
Julie Hoover‐Fong +10 more
wiley +1 more source
A hybrid RANS‐LES turbulence model adapted for the Moving Particle Semi‐implicit method is employed to investigate a turbulent free surface flow. A method based on the cell‐linked list is proposed to speed up the nearest wall search for the turbulence model.
Fabio Kenji Motezuki +3 more
wiley +1 more source
Penalized spline models and applications [PDF]
Penalized spline regression models are a popular statistical tool for curve fitting\ud problems due to their flexibility and computational efficiency. In particular, penalized\ud cubic spline functions have received a great deal of attention.
openaire
Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach
ABSTRACT Low birth weight and preterm birth are key indicators of neonatal health, influencing both immediate and long‐term infant outcomes. While low birth weight may reflect fetal growth restrictions, preterm birth captures disruptions in gestational development. Ignoring the potential interdependence between these variables may lead to an incomplete
Giampiero Marra, Rosalba Radice
wiley +1 more source
Stagewise Boosting Distributional Regression
ABSTRACT Distributional regression extends generalized additive models by linking all distributional parameters to covariates. Gradient boosting is among the most effective estimation techniques for such models, yet it can suffer from vanishing gradients, resulting in unstable updates and weak variable selection.
Mattias Wetscher +3 more
wiley +1 more source
Germination of Dracophyllum sayeri F.Muell. (Ericaceae), a vulnerable montane cloud forest endemic
Climate change in tropical montane cloud forest (TMCF) is predicted to impact species adapted to consistent, mild temperatures. We used a temperature gradient plate to investigate the effect of temperature on germination and early seedling survival of Dracophyllum sayeri (Ericaceae), a tree species endemic to TMCF in northeast Queensland, Australia ...
Amelia V. Stevens +6 more
wiley +1 more source
Market Insurance and Risk Pooling in U.S. Crop Insurance
ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan +3 more
wiley +1 more source

