Results 161 to 170 of about 1,312,626 (282)

Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach

open access: yesChronic Diseases and Translational Medicine, EarlyView.
The Vital Conditions Framework. Graphical representation of the Vital Conditions for Health Framework with seven domains. Images used with permission from The Rippel Foundation: An Introduction to the Vital Conditions for Health and Well‐Being. https://rippel.org/events/webinar-an-introduction-to-the-vital-conditions-for-health-and-well-being/. Federal
Stephanie Kjelstrom   +4 more
wiley   +1 more source

One century of teaching, research, and innovation in chemical engineering in Mexico: The role of chemical engineering in the background and future of polymer science and industrial production in Mexico

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Timeline of key academic milestones and individuals that shaped chemical engineering at FQ‐UNAM and in Mexico. Abstract One hundred years after the beginning of the teaching of Chemical Engineering in Mexico, which started in 1925 in the former National School of Chemical Sciences, currently Faculty of Chemistry (FQ) at National Autonomous University ...
Patricia Pérez‐Salinas   +2 more
wiley   +1 more source

Catching Growth Determinants with the Adaptive Lasso

open access: yes
This paper uses the adaptive Lasso estimator to determine the variables important for economic growth. The adaptive Lasso estimator is a computationally very simple procedure that can perform at the same time model selection and consistent parameter ...
Ulrike Schneider, Martin Wagner
core  

Vine copula knockoffs for variable selection in gene expression studies

open access: yesCanadian Journal of Statistics, EarlyView.
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

Lasso for hierarchical polynomial models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The divisibility conditions implicit in a polynomial hierarchy suggest parameter constraints in regression. With this idea, we establish strong and weak hierarchies for both the lasso and relaxed lasso. Our proposal extends prior work on hierarchical lasso, which was mainly concerned with models of degree 2.
H. Maruri‐Aguilar, S. Lunagómez
wiley   +1 more source

The life and work of Ernest Sydney Keeping

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

open access: yesCanadian Journal of Statistics, EarlyView.
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

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