Functional single-index models

ity, based on a functional single index model relating a response such as growth rate or survival to environmental conditions. In ecology, the curvature of such responses are used, via Jensen’s inequality, to determine whether environmental variability is harmful or beneficial, and differing Partial Functional Partially Linear Single-Index Models @inproceedings{Tang2020PartialFP, title={Partial Functional Partially Linear Single-Index Models}, author={Qingguo Tang and Linglong Kong and David Ruppert and Rohana J. Karunamuni}, year={2020} } Qingguo Tang, Linglong Kong, +1 author Rohana J. Karunamuni

Keywords: single-index model, sparsity, regression estimation, function converges to zero dramatically slowly if the dimension p is large compared to k. This. Asymptotic normality of conditional distribution estimation in the single index model. Diaa Eddine Hamdaouidiaa-eddine@hotmail.fr , Amina Angelika  additive single-index models. Some key words: Hedonic price function; Local polynomial regression; Sliced inverse regression; Smoothing parameter estimator  High-dimensional Non-Gaussian Single Index Models via Thresholded Score. Function Estimation. Zhuoran Yang 1 Krishnakumar Balasubramanian 1 Han Liu  

We propose a semiparametric functional single index model to study the relationship between a univariate response and multiple functional covariates. The parametric part of the model integrates the functional linear regression model and the sufficient dimension reduction structure.

Functional Single-index Quantile Regression Models. This repository consists of coding for the simulation studies and the application in the manuscript entitled  Keywords: single-index model, sparsity, regression estimation, function converges to zero dramatically slowly if the dimension p is large compared to k. This. Asymptotic normality of conditional distribution estimation in the single index model. Diaa Eddine Hamdaouidiaa-eddine@hotmail.fr , Amina Angelika  additive single-index models. Some key words: Hedonic price function; Local polynomial regression; Sliced inverse regression; Smoothing parameter estimator  High-dimensional Non-Gaussian Single Index Models via Thresholded Score. Function Estimation. Zhuoran Yang 1 Krishnakumar Balasubramanian 1 Han Liu   (modeled as a function of the mean response) in a quasi-likelihood version of the single-index model, but a strong condition is imposed on the design and there. In this paper, a semiparametric single-index model is investigated. The link function is allowed to be unbounded and has unbounded support that answers.

9 Mar 2011 A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, 

13 Jun 2007 We provide a proof for the identifiability for both single-index models and models assuming only the continuity of the regression function, 

A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION - Volume at the usual rate for nonparametric estimation of a univariate function.

In this paper, a semiparametric single-index model is investigated. The link function is allowed to be unbounded and has unbounded support that answers. A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION - Volume at the usual rate for nonparametric estimation of a univariate function. Ichimura (1993) studies the semiparametric single index model (SIM) to overcome the curse of di- mensionality by assuming that the true model is a function of  through a conditional expectation function and the conditioning variable involves a single' index with an unknown finite dimensional nuisance parameter.

27 Oct 2018 PDF | The problem of error density estimation for a functional single index model with dependent errors is studied. A Bayesian method is 

In this paper, a semiparametric single-index model is investigated. The link function is allowed to be unbounded and has unbounded support that answers. A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION - Volume at the usual rate for nonparametric estimation of a univariate function. Ichimura (1993) studies the semiparametric single index model (SIM) to overcome the curse of di- mensionality by assuming that the true model is a function of  through a conditional expectation function and the conditioning variable involves a single' index with an unknown finite dimensional nuisance parameter. 25 Apr 2017 Description Estimation of function and index vector in single index model with and with- out shape constraints including different smoothness  17 Jan 2011 Index Terms — Single-index model, sparsity, regression estimation, In the regression function estimation problem, the mission is to use the 

Ichimura (1993) studies the semiparametric single index model (SIM) to overcome the curse of di- mensionality by assuming that the true model is a function of  through a conditional expectation function and the conditioning variable involves a single' index with an unknown finite dimensional nuisance parameter. 25 Apr 2017 Description Estimation of function and index vector in single index model with and with- out shape constraints including different smoothness  17 Jan 2011 Index Terms — Single-index model, sparsity, regression estimation, In the regression function estimation problem, the mission is to use the  5 Jan 2016 where Y is a response variable, (Z,X)\in R^{p} \times R^{q} is covariate, g(\cdot) is an unknown univariate measurable function, ε is a random error  27 Sep 2016 This paper considers the structure identification problem in the general partial linear single-index models, where the link function is unknown. 13 Jun 2007 We provide a proof for the identifiability for both single-index models and models assuming only the continuity of the regression function,