Results 161 to 170 of about 117,399 (299)
Sparse Nonparametric Regression With Regularized Tensor Product Kernel. [PDF]
Yu H, Wang Y, Zeng D.
europepmc +1 more source
A Nonparametric Model of Frontiers [PDF]
In this paper we propose a nonparametric regression frontier model that assumes no specific parametric family of densities for the unobserved stochastic component that represents efficiency in the model.
Carlos Martins-FIlho, Feng Yao
core
Objective Regeneration and expansion of Treg by low‐dose interleukin‐2 (IL‐2) therapy is considered a potential treatment strategy for a wide range of autoimmune diseases. To provide a pathophysiologically‐based rationale for low‐dose IL‐2 therapy, we investigated whether reversible defects in the Treg–IL‐2 axis emerge in inflammatory myopathies ...
Justus Ohmes +10 more
wiley +1 more source
Adaptive nonparametric regression with the K-nearest neighbour fused lasso. [PDF]
Madrid Padilla OH +3 more
europepmc +1 more source
ANK1 and EPB41 Variants and the Risk of Steroid‐Induced Osteonecrosis
Objective Steroid‐induced osteonecrosis of the femoral head (SONFH) is a refractory skeletal disorder influenced by genetic and environmental factors. However, conclusive pathogenic genetic evidence remains elusive due to the limited exploration of rare damaging variants. In this study, we aimed to identify rare variants associated with SONFH.
Shengbao Chen +21 more
wiley +1 more source
A note on nonparametric estimation of the effective dose in quantal bioassay [PDF]
For the common binary response model we propose a direct method for the nonparametric estimation of the effective dose level ED? (0Binary response model,effective dose level,nonparametric regression,isotonic regression,order restricted inference,local ...
Dette, Holger +2 more
core
Abstract This paper analyses differences in academic achievement associated with attendance at publicly funded private schools and public schools across 11 European countries. Using eight waves of PISA data (2000–2022), we apply OLS, IPW and IPWRA estimators to account for observed heterogeneity and mitigate selection bias.
Priya Maurya +2 more
wiley +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu +2 more
wiley +1 more source
Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals [PDF]
This paper studies nonparametric estimation of conditional moment models in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem.
Demian Pouzo, Xiaohong Chen
core

