Results 21 to 30 of about 991,751 (258)
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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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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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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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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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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On Single-Index Models beyond Gaussian Data
Advances 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
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Scientific 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
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The Single Index Market Model in Agriculture [PDF]
Northeastern Journal of Agricultural and Resource Economics, 1988 This study illustrates the differences in empirical results due to data measurements and estimating procedures when applying the single index market model in agriculture. Gross and net return betas along with systematic and unsystematic risk proportions are estimated and found to be different.
Gempesaw, Conrado M., II +3 more
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Nearest neighbour imputation under single index models
Statistical 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
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