Results 31 to 40 of about 1,341,862 (199)
Penalized single-index quantile regression [PDF]
, 2013 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
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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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Estimation of Single-Index Models Based on Boosting Techniques [PDF]
, 2008 In single-index models the link or response function is not considered as fixed. The data determine the form of the unknown link function. In order to obtain a flexible form of the link function we specify the link function as an expansion in basis ...
Leitenstorfer, Florian, Tutz, Gerhard
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Mathematics, 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
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The Single-Index/Cox Mixture Cure Model [PDF]
Biometrics, 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
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Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model
Mathematics, 2023 In this paper, the spatial dynamic panel data (SDPD) model is extended to the single-index spatial dynamic panel data (Si-SDPD) model by introducing a nonlinear connection function to reflect the interaction between explanatory variables.
Mengqi Zhang, Boping Tian
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Omnipredicting Single-Index Models with Multi-index Models
Proceedings of the 57th Annual ACM Symposium on Theory of ComputingRecent work on supervised learning [GKR+22] defined the notion of omnipredictors, i.e., predictor functions $p$ over features that are simultaneously competitive for minimizing a family of loss functions $\mathcal{L}$ against a comparator class $\mathcal{C}$. Omniprediction requires approximating the Bayes-optimal predictor beyond the loss minimization
Lunjia Hu, Kevin Tian, Chutong Yang
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Bayesian quantile regression for single-index models [PDF]
Statistics and Computing, 2012 Using an asymmetric Laplace distribution, which provides a mechanism for Bayesian inference of quantile regression models, we develop a fully Bayesian approach to fitting single-index models in conditional quantile regression. In this work, we use a Gaussian process prior for the unknown nonparametric link function and a Laplace distribution on the ...
Yuao Hu, Robert B. Gramacy, Heng Lian
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Score estimation in the monotone single‐index model [PDF]
Scandinavian Journal of Statistics, 2018 AbstractWe consider estimation in the single‐index model where the link function is monotone. For this model, a profile least‐squares estimator has been proposed to estimate the unknown link function and index. Although it is natural to propose this procedure, it is still unknown whether it produces index estimates that converge at the parametric rate.
Fadoua Balabdaoui +2 more
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