Results 101 to 110 of about 25,451 (177)

Post-selection inference for causal effects after causal discovery. [PDF]

Biometrika
Chang TH, Guo Z, Malinsky D.
europepmc   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, Volume 41, Issue 3, Page 265-279, April/May 2026.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]

Entropy (Basel)
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc   +1 more source

Commentary: Diagnostic utility of hematological and biochemical markers for cystic echinococcosis in Tibetan patients of Sichuan, China. [PDF]

Front Cell Infect Microbiol
Jiang QB, Zhang GM.
europepmc   +1 more source

Therapeutic Galectin‐3 Apheresis Improves Sepsis Outcomes Through Coordinated Neutrophil Modulation and Endothelial Barrier Preservation: A Translational Study

MedComm, Volume 7, Issue 4, April 2026.
Gal‐3 apheresis reduces neutrophil hyperactivation (CXCL2/CXCL8, MPO, NETs), preserves endothelial barrier function (tight junctions, vWF/VCAM‐1/ICAM‐1), and attenuates PI3K/AKT/HIF‐1α signaling. These coordinated effects significantly improve hemodynamics, reduce pulmonary edema (ELWI), lower vasopressor and fluid requirements, and increase survival ...
Zhongyi Sun, Jiachen Qu, Sheng Peng, Yanan Hu, Amity Eliaz, Glenn M. Chertow, Isaac Eliaz, Zhiyong Peng   +7 more
wiley   +1 more source

Peer Reporting: Sampling Design and Unbiased Estimates. [PDF]

Entropy (Basel)
Wen K, Mou J, Lu X.
europepmc   +1 more source

Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]

J Am Stat Assoc
Meng X, Li Y.
europepmc   +1 more source

Integration of Machine Learning With PBPK and QSAR Modeling Approaches to Facilitate Drug Discovery and Development

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure–activity relationship (QSAR) models, for absorption, distribution, metabolism, and excretion (ADME) properties across drug development ...
Xinyue Chen, Zhoumeng Lin
wiley   +1 more source

Inference procedures in sequential trial emulation with survival outcomes: Comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknife. [PDF]

Stat Methods Med Res
Limozin JM, Seaman SR, Su L.
europepmc   +1 more source

Copulas for Covariate Simulation in Pharmacometrics

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT Patient‐specific covariates are commonly incorporated in pharmacometric and quantitative system pharmacology models to predict differences in pharmacokinetic or pharmacodynamic profiles between patients. When simulating new virtual populations of patients, generating realistic covariate sets that accurately reflect the correlation structures ...
Yuchen Guo, Tingjie Guo, J. G. Coen van Hasselt, Laura B. Zwep   +3 more
wiley   +1 more source