Modeling person guessing as a random effect: a Bayesian approach of the two-parameter logistic model. [PDF]
Sideridis G, Alghamdi M.
europepmc +1 more source
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
Potential role of stabilized criegee intermediates in the reactivity of isocyanic acid. [PDF]
Zhang M, Hou H, Wang B.
europepmc +1 more source
Optimal subsampling for regression with mixed‐type predictors
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
The microdialysis-derived lactate-pyruvate gradient indicates anaerobic activity after brain injury. [PDF]
Baker MS +13 more
europepmc +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Seed Morphotype and Population Origin Shape Germination Responses of Three <i>Salicornia perennans</i> Willd. subsp. <i>perennans</i> Populations Under Different NaCl Concentrations. [PDF]
Ventura I, Lombardi T.
europepmc +1 more source
Sparse maximum likelihood estimation of regression models
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source
Dynamic salience as a basis for behavioural meta-malleability. [PDF]
Sosa R, Treviño M.
europepmc +1 more source
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source

