Results 161 to 170 of about 137,194 (317)

A partially collapsed Gibbs sampler for Bayesian quantile regression

, 2009
We introduce a set of new Gibbs sampler for Bayesian analysis of quantile re-gression model. The new algorithm, which partially collapsing an ordinary Gibbs sampler, is called Partially Collapsed Gibbs (PCG) sampler.
Yu, K, Reed, C, Keming Yu, Craig Reed
core  

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source

Conditional Spatial Quantile: Characterization and Nonparametric Estimation [PDF]

Conditional quantiles are required in various economic, biomedical or industrial problems. Lack of objective basis for ordering multivariate observations is a major problem in extending the notion of quantiles or conditional quantiles (also called ...
Mohamed CHAOUCH (IMB, Université de Bourgogne), Ali GANNOUN (CNAM, Paris), Jérôme SARACCO (GREThA)   +2 more
core  

Simulation Study for Variable Selection in Quantile Regression

Wasit Journal for Pure Sciences
Six essential techniques for variable selection in quantile regression models are thoroughly examined in this work. Quantile Lasso, gamma-divergence, quantile elastic net, quantile adaptive Lasso, quantile SCAD, and quantile MCP are some of these ...
HUSSEIN HASHEM
doaj   +1 more source

Digital innovation for a greener future: the role of artificial intelligence in Europe's biofuel transition

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study investigates the relationship between artificial intelligence (AI) development and biofuel production using a balanced panel dataset of 12 European Union (EU) countries over the 2008–2024 period. Employing feasible generalized least squares (FGLS) estimation with distributed lag specifications, the analysis controls for Renewable ...
Tufan Sarıtaş, Emin Ahmet Kaplan, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source

Pharmacokinetic‐pharmacodynamic modelling of risankizumab using chronic plaque psoriasis real‐world data

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Risankizumab is a high‐cost biologic treatment for chronic plaque psoriasis, an immune‐mediated inflammatory disease presenting with painful red scaly skin lesions. Inter‐individual heterogeneity in treatment response may be better addressed with personalised rather than fixed dosing. We sought to develop a pharmacokinetic/pharmacodynamic (
Charlotte M. Thomas, Jessica Ruoheng Wei, David Baudry, Zehra Arkir, Bola Coker, Tejus Dasandi, Kingsley Powell, Monica Arenas‐Hernandez, Jenny Leung, Krystal Rawstron, Chioma Nwaogu, Richard Woolf, Andrew E. Pink, Jonathan Barker, Joseph F. Standing, Catherine H. Smith, Satveer K. Mahil   +16 more
wiley   +1 more source

Risk of venous thromboembolism after SARS‐CoV‐2 vaccination—Evidence from genome‐wide association study and population‐based observational study

British Journal of Clinical Pharmacology, EarlyView.
Aim We aimed to investigate whether genetic variation is associated with venous thromboembolism after immunization with SARS‐CoV‐2 vaccines. Methods We conducted a genome‐wide association study (GWAS) on cases of venous thromboembolism within 42 days after SARS‐CoV‐2 vaccination, recruited from reports of adverse drug reactions sent to the Swedish ...
Sofia Attelind, Niclas Eriksson, Marco Cavalli, Yiyi Xu, Fredrik Nyberg, Anders Sundström, Mia Wadelius, Pär Hallberg   +7 more
wiley   +1 more source

Multi‐Scale Hybrid Modeling to Predict Cell Culture Process With Metabolic Phase Transitions

Biotechnology and Bioengineering, EarlyView.
ABSTRACT To advance understanding of cellular metabolism and reduce batch‐to‐batch variability in cell culture processes, this study introduces a multi‐scale hybrid modeling framework designed to simulate and predict the dynamic behavior of CHO cell cultures undergoing metabolic phase transitions.
Keqi Wang, Sarah W. Harcum, Wei Xie
wiley   +1 more source

Inference for extremal conditional quantile models, with an application to market and birthweight risks [PDF]

Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Victor Chernozhukov, Iván Fernández-Val   +1 more
core  

Impact of Agitation Power Input on Aspergillus oryzae Metabolism: Application of Multi‐Omics on an Industrial Enzyme Fermentation

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The agitation power input substantially impacts the oxygen transfer rate in aerobic fermentation processes. Furthermore, in a carbon‐limited process where the substrate feed rate is controlled by the concentration of dissolved oxygen, the power input will consequently govern the feed rate.
Mariana Albino, Jean‐Marie Mouillon, Gisela Nadal‐Rey, Carina L. Gargalo, Ulrich Krühne, Krist V. Gernaey, Mads O. Albæk   +6 more
wiley   +1 more source