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Canadian Journal of Remote Sensing, 2023 Timely monitoring of crop production using a remote sensing-based approach offers promise toward enhancing food security. Statistical models developed using satellite data typically employ a single vegetation index from a single sensor for yield ...
Jumi Gogoi +4 more
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A bootstrap test for single index models [PDF]
Statistics, 2001 Single index models are frequently used in econometrics and biometrics. Logit and Probit models arc special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function.
Härdle, Wolfgang +2 more
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Checking Heteroscedasticity in Partially Linear Single-Index Models Using Pairwise Distance
IEEE Access, 2020 In this article, a new test is proposed for partially linear single-index models (PLSIM) based on the pairwise distances of the sample points, to test heteroscedasticity.
Jian-Qiang Zhao +4 more
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Using single-index ODEs to study dynamic gene regulatory network. [PDF]
PLoS ONE, 2018 With the development of biotechnology, high-throughput studies on protein-protein, protein-gene, and gene-gene interactions become possible and attract remarkable attention.
Qi Zhang, Yao Yu, Jun Zhang, Hua Liang
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Identification of organic compounds using artificial neural networks and refractive index [PDF]
Journal of the Serbian Chemical Society, 2023 Identification of chemical compounds has many applications in science and technology. However, this process still relies significantly on the knowledge and experience of chemists.
Kirigiti Innocent Abel +2 more
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Estimation in monotone single‐index models [PDF]
Statistica Neerlandica, 2018 Single‐index models are popular regression models that are more flexible than linear models and still maintain more structure than purely nonparametric models. We consider the problem of estimating the regression parameters under a monotonicity constraint on the unknown link function.
Piet Groeneboom, Kim Hendrickx
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J. Mach. Learn. Res., 2011 Let $(\bX, Y)$ be a random pair taking values in $\mathbb R^p \times \mathbb R$. In the so-called single-index model, one has $Y=f^{\star}(θ^{\star T}\bX)+\bW$, where $f^{\star}$ is an unknown univariate measurable function, $θ^{\star}$ is an unknown vector in $\mathbb R^d$, and $W$ denotes a random noise satisfying $\mathbb E[\bW|\bX]=0$.
Alquier, Pierre, Biau, Gérard
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Remote 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
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Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm
Critical 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
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Score Tests for the Single Index Model [PDF]
Technometrics, 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
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