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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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Analisis Portofolio Optimal Saham Indeks Lq-45 Dengan Model Indeks Tunggal Di Bursa Efek Indonesia
Jurnal Perilaku dan Strategi Bisnis, 2017 Rational investors invest in efficient stocks, the stocks that have high return with minimum risk. The sample in this study using the stocks in the group LQ-45 index during the period February 2013-July 2013.
ALMUNFARIJAH ALMUNFARIJAH
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An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2018 To reduce the amount of loss due to investment risk, an investor or stockbroker usually forms an optimal stock portfolio. This technique is done to get the maximum return of investment on shares to be purchased.
Wahyono Wahyono +5 more
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Rancangan Strategi Portofolio Optimal PT. ABC dengan Metode Single Index Model
JKBM (Jurnal Konsep Bisnis dan Manajemen), 2021 As social insurance company of the Republic of Indonesia, PT ABC (Persero) has a captive market based on the provisions of Undang-undang in Indonesia.
Ramadhan Dwi Saputra +1 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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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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Sufficient Dimension Reduction: An Information-Theoretic Viewpoint
Entropy, 2022 There has been a lot of interest in sufficient dimension reduction (SDR) methodologies, as well as nonlinear extensions in the statistics literature. The SDR methodology has previously been motivated by several considerations: (a) finding data-driven ...
Debashis Ghosh
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Estimation of parametric single index ordered logit model on milk yields [PDF]
Kafkas Universitesi Veteriner Fakültesi Dergisi, 2019 This article aims to determine some important factors affecting the milk yield of Holstein Friesian cows and introduce the use of single index ordered logit model in milk yield studies.
Özge AKKUŞ +3 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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