Results 61 to 70 of about 4,586 (136)
CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 2, February 2026.ABSTRACT We introduce the Regularized Horseshoe (RHS) in the context of covariate selection for population PK/PD models. Unlike stepwise approaches which are commonly used in this context, the RHS can simultaneously assess all possible parameter‐covariate relationships in a single model fit by leveraging the fact that such relationships are usually ...
Arya Pourzanjani, Casey Davis
wiley +1 more source
Multivariate and Online Transfer Learning With Uncertainty Quantification
Statistics in Medicine, Volume 45, Issue 3-5, February 2026.ABSTRACT Untreated periodontitis causes inflammation within the supporting tissue of the teeth and can ultimately lead to tooth loss. Modeling periodontal outcomes is beneficial as they are difficult and time‐consuming to measure, but disparities in representation between demographic groups must be considered.
Jimmy Hickey +3 more
wiley +1 more source
A comparative study of the Lasso-type and heuristic model selection methods [PDF]
This study presents a first comparative analysis of Lasso-type (Lasso, adaptive Lasso, elastic net) and heuristic subset selection methods. Although the Lasso has shown success in many situations, it has some limitations.
Ivan Savin
core
Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses
Statistics in Medicine, Volume 45, Issue 3-5, February 2026.ABSTRACT Genomics and other studies encounter many features and a selection of essential features with high accuracy is desired. In recent years, there has been a significant advancement in the use of Bayesian inference for variable (or feature) selection.
Hema Sri Sai Kollipara +3 more
wiley +1 more source
AGU Advances, Volume 7, Issue 1, February 2026.Abstract Anthropogenic climate change affects regional hydrological cycles and poses significant challenges to the sustainable supply of freshwater. The Central China water tower (CCWT) is the key source region feeding the Yangtze and Yellow Rivers, and its runoff is indispensable for the surrounding mega‐city clusters. Here we present a reconstruction
Weipeng Yue +18 more
wiley +1 more source
, 2017 This paper is concerned with the selection of fixed effects along with the estimation of fixed effects, random effects and variance components in the linear mixed-effects model.
Adjakossa, Eric, Nuel, Grégory
core
Hierarchical shrinkage priors for dynamic regressions with many predictors [PDF]
This paper builds on a simple unified representation of shrinkage Bayes estimators based on hierarchical Normal-Gamma priors. Various popular penalized least squares estimators for shrinkage and selection in regression models can be recovered using this ...
Korobilis, Dimitris
core +1 more source
Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards Models. [PDF]
Entropy (Basel)Ahmed SE, Arabi Belaghi R, Hussein AA.
europepmc +1 more source
A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada. [PDF]
Sci RepAlghamdi FM +6 more
europepmc +1 more source
Scalable geometric learning with correlation-based functional brain networks. [PDF]
Sci RepYou K, Lee Y, Park HJ.
europepmc +1 more source