Results 111 to 120 of about 117,399 (299)
new test for the parametric form of the variance function in nonparametric regression [PDF]
In the common nonparametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the empirical processes obtained from the standardized ...
Dette, Holger, van Keilegom, Ingrid
core
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
Iterative Regularization in Nonparametric Instrumental Regression [PDF]
We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
Van Bellegem, Sébastien +2 more
core +3 more sources
Nonparametric estimation of an additive quantile regression model [PDF]
This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n-r/(2r+1) when the ...
Sokbae 'Simon' Lee, Joel Horowitz
core
Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
A method for parameter hypothesis testing in nonparametric regression with Fourier series approach. [PDF]
MethodsX, 2023 Ramli M, Budiantara IN, Ratnasari V.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
On Non-Parametric Estimation of Regression Function [PDF]
The Egyptian Statistical Journal, 1984 Hegazi Sabry
doaj +1 more source
American Journal of Hematology, EarlyView.ABSTRACT Hypomethylating agents (HMA) and allogeneic hematopoietic stem cell transplantation (alloHSCT) have both demonstrated remissions in VEXAS; however, comparative data is lacking. We conducted a multicenter, retrospective analysis of 66 patients diagnosed with VEXAS syndrome treated with HMA (n = 35) or alloHSCT (n = 31). Baseline characteristics
Saubia Fathima +48 more
wiley +1 more source
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces. [PDF]
Stat Sin, 2023 Zhang T, Simon N.
europepmc +1 more source