Results 31 to 40 of about 8,082 (216)

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

An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm

open access: yesIJCCS (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
doaj   +1 more source

Estimation in monotone single‐index models [PDF]

open access: yesStatistica 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
openaire   +5 more sources

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

Sufficient Dimension Reduction: An Information-Theoretic Viewpoint

open access: yesEntropy, 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
doaj   +1 more source

The Single Index Market Model in Agriculture [PDF]

open access: yesNortheastern 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
openaire   +2 more sources

Estimation of parametric single index ordered logit model on milk yields [PDF]

open access: yesKafkas 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
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

High-Dimensional Statistics: Non-Parametric Generalized Functional Partially Linear Single-Index Model

open access: yesMathematics, 2022
We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane   +3 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   +3 more sources

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