Results 21 to 30 of about 22,049,526 (145)
An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm
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
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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The Single Index Market Model in Agriculture [PDF]
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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Bayesian composite quantile regression for the single-index model.
By using a Gaussian process prior and a location-scale mixture representation of the asymmetric Laplace distribution, we develop a Bayesian analysis for the composite quantile single-index regression model.
Xiaohui Yuan, Xuefei Xiang, Xinran Zhang
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A single-index quantile regression model and its estimation [PDF]
Models with single-index structures are among the many existing popular semiparametric approaches for either the conditional mean or the conditional variance. This paper focuses on a single-index model for the conditional quantile. We propose an adaptive
Xia, Y. +3 more
core +1 more source
A single-index model with multiple-links
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
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On Single-Index Models beyond Gaussian Data
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
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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Penalized single-index quantile regression [PDF]
This article is made available through the Brunel Open Access Publishing Fund. Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
Yu, K
core +1 more source
Estimation of parametric single index ordered logit model on milk yields [PDF]
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
doaj +1 more source

