Results 231 to 240 of about 10,357 (300)

Impact of Dataset Size and Hyperparameters Tuning in a Variational Autoencoder for Structure–Property Mapping in Porous Metamaterials

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT This study extends a deep learning framework for the inverse reconstruction of open‐cell porous metamaterials targeting specific hydraulic properties such as porosity and intrinsic permeability. Building on our recent work that employed a property‐variational autoencoder (pVAE) for structure–property mapping, the current contribution examines ...
Phu Thien Nguyen   +3 more
wiley   +1 more source

Cellular Heterogeneity in Drug Uptake Amplifies Pharmacodynamic Variability: A Stochastic PK‐PD Analysis

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 6, June 2026.
ABSTRACT Traditional pharmacokinetic‐pharmacodynamic models assume cellular homogeneity, yet clinical observations reveal substantial response variability even among patients with similar plasma exposure. We hypothesized that cellular heterogeneity in drug transporter expression, coupled with nonlinear dose–response relationships, can amplify ...
Nhung Hong‐Thi Duong   +4 more
wiley   +1 more source

Bayes factor for linear mixed model in genetic association studies

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Bayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models. An efficient method to compute Bayes factor for linear mixed model (LMM) in the context of genetic association studies is lacking.
Yongtao Guan, Daniel Levy
wiley   +1 more source

Mixture‐Based Estimation of Multivariate Data Hypervolume

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT Estimating the hypervolume occupied by multivariate data is a fundamental problem in statistics and data science, with applications ranging from ecology and machine learning to multi‐objective optimization and Bayesian inference. Traditional approaches rely on geometric approximations, kernel density estimation, or convex‐hull constructions ...
Luca Scrucca
wiley   +1 more source

Cluster Trials Inference With CARE

open access: yesStatistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT We show that cluster‐randomized trials—especially pragmatic designs—often exhibit substantial (but underappreciated in practice) heterogeneity in cluster sizes and structures, distorting inference. Our simulations—reassigning treatment in real data and varying imbalance in synthetic data—show that currently recommended methods (such as ...
Sergey Alexeev, Rachael L. Morton
wiley   +1 more source

Home - About - Disclaimer - Privacy