Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector. [PDF]
Liao S, Sun X, Hao N, Zhang HH.
europepmc +1 more source
Assessment of Gibbs Free Energy Calculation in PI‐Controlled Heating
For description and control of chemical processes in lab or industry thermodynamic variable Gibbs free energy provides opportunity to compare and interpret phenomena, even on a quantitative level. In a case study for PI‐controlled heating, impacts on its limits from control delay until parameter quantization are highlighted and assessed.
Jannik Dutschke +4 more
wiley +1 more source
Methods for Adjusting for Covariate Measurement Error in Flexible Modeling of Functional Form: Designing a Blinded, Controlled Neutral Comparison Simulation Study. [PDF]
Thiébaut ACM +9 more
europepmc +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Capturing infant and child growth dynamics with P-splines mixed effects models. [PDF]
Hernandez MA +5 more
europepmc +1 more source
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
A pseudotime-dependent TWAS framework identifies disease genes along cell developmental paths. [PDF]
Cao R +9 more
europepmc +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Study on Contact Characteristics of Aeronautical Floating Splines Considering Maneuvering Deformation. [PDF]
Xu Y +5 more
europepmc +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source

