Results 31 to 40 of about 1,058,493 (262)

Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study

open access: yesRemote Sensing, 2021
Wheat yellow rust has a severe impact on wheat production and threatens food security in China; as such, an effective monitoring method is necessary at the regional scale.
Qiong Zheng   +8 more
doaj   +1 more source

On Single-Index Models beyond Gaussian Data

open access: yesAdvances in Neural Information Processing Systems 36, 2023
Sparse high-dimensional functions have arisen as a rich framework to study the behavior of gradient-descent methods using shallow neural networks, showcasing their ability to perform feature learning beyond linear models. Amongst those functions, the simplest are single-index models $f(x) = ϕ( x \cdot θ^*)$, where the labels are generated by an ...
Aaron Zweig   +2 more
openaire   +3 more sources

Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm

open access: yesCritical Care Explorations, 2021
OBJECTIVES:. Pediatric Index of Mortality 3 is a validated tool including 11 variables for the assessment of mortality risk in PICU patients. With the recent advances in explainable machine learning algorithms, we aimed to assess feasibility of ...
Orkun Baloglu, MD   +4 more
doaj   +1 more source

A single-index model with multiple-links

open access: yesJournal of Statistical Planning and Inference, 2020
In a regression model for treatment outcome in a randomized clinical trial, a treatment effect modifier is a covariate that has an interaction with the treatment variable, implying that the treatment efficacies vary across values of such a covariate.
Park, Hyung   +3 more
openaire   +3 more sources

Identification of multi-omics biomarkers and construction of the novel prognostic model for hepatocellular carcinoma

open access: yesScientific Reports, 2022
Genome changes play a crucial role in carcinogenesis, and many biomarkers can be used as effective prognostic indicators in various tumors. Although previous studies have constructed many predictive models for hepatocellular carcinoma (HCC) based on ...
Xiao Liu   +5 more
doaj   +1 more source

Score Tests for the Single Index Model [PDF]

open access: yesTechnometrics, 2002
The single index model is a generalization of the linear regression model with E(y|x) = g(x′β), where g is an unknown function. The model provides a flexible alternative to the linear regression model while providing more structure than a fully nonparametric approach.
Jeffrey S. Simonoff, Chih-Ling Tsai
openaire   +1 more source

Nearest neighbour imputation under single index models

open access: yesStatistical Theory and Related Fields, 2019
A popular imputation method used to compensate for item nonresponse in sample surveys is the nearest neighbour imputation (NNI) method utilising a covariate to defined neighbours.
Jun Shao, Lei Wang
doaj   +1 more source

Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery

open access: yesRemote Sensing, 2021
Unmanned aerial vehicle-based multispectral imagery including five spectral bands (blue, green, red, red-edge, and near-infrared) for a rice field in the ripening stage was used to develop regression models for predicting the rice yield and protein ...
Yeseong Kang   +6 more
doaj   +1 more source

A review of water quality index models and their use for assessing surface water quality

open access: yesEcological Indicators, 2021
The water quality index (WQI) model is a popular tool for evaluating surface water quality. It uses aggregation techniques that allow conversion of extensive water quality data into a single value or index.
Md. Galal Uddin   +2 more
doaj   +1 more source

The Single-Index/Cox Mixture Cure Model [PDF]

open access: yesBiometrics, 2018
AbstractIn survival analysis, it often happens that a certain fraction of the subjects under study never experience the event of interest, that is, they are considered “cured.” In the presence of covariates, a common model for this type of data is the mixture cure model, which assumes that the population consists of two subpopulations, namely the cured
Maïlis Amico   +2 more
openaire   +2 more sources

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