Nonparametric estimation of the causal effect of a stochastic threshold-based intervention. [PDF]
Biometrics, 2023 van der Laan L, Zhang W, Gilbert PB.
europepmc +1 more source
Parameter estimation of ODE’s via nonparametric estimators
Electronic Journal of Statistics, 2008 Published in at http://dx.doi.org/10.1214/07-EJS132 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +4 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Bayesian Nonparametric Estimation and Consistency of Mixed Multinomial Logit Choice Models [PDF]
This paper develops nonparametric estimation for discrete choice models based on the Mixed Multinomial Logit (MMNL) model. It has been shown that MMNL models encompass all discrete choice models derived under the assumption of random utility maximization,
Lancelot F. James +2 more
core
Influencing factors of farmers' participation in domestic waste classification: An empirical analysis based on the semi-nonparametric estimation extended model. [PDF]
Front Psychol, 2022 Sun Q, Duan H, Zhong D.
europepmc +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
Advanced Intelligent Discovery, EarlyView.To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Computing nonparametric functional estimates in semiparametric problems. [PDF]
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals. The routines are primarily intended to be used in the estimation of semiparametric models.
Delgado, Miguel A.
core
Nonparametric estimation of Spearman's rank correlation with bivariate survival data. [PDF]
Biometrics, 2022 Eden SK, Li C, Shepherd BE.
europepmc +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
IDENTIFICATION AND ESTIMATION OF NONPARAMETRIC STRUCTURAL [PDF]
This paper concerns a new statistical approach to instrumental variables (IV) method for nonparametric structural models with additive errors. A general identifying condition of the model is proposed, based on richness of the space generated by marginal ...
Woocheol Kim
core