Articles with "single index" as a keyword



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Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference.

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Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8048

Abstract: The augmented inverse weighting method is one of the most popular methods for estimating the mean of the response in causal inference and missing data problems. An important component of this method is the propensity… read more here.

Keywords: model; single index; propensity score; causal inference ... See more keywords
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High-dimensional single-index models with censored responses.

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Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8571

Abstract: In this article, we study the estimation of high-dimensional single index models when the response variable is censored. We hybrid the estimation methods for high-dimensional single-index models (but without censorship) and univariate nonparametric models with… read more here.

Keywords: high dimensional; index; censored responses; single index ... See more keywords
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Multivariate single index modeling of longitudinal data with multiple responses.

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Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9763

Abstract: In medical studies, composite indices and/or scores are routinely used for predicting medical conditions of patients. These indices are usually developed from observed data of certain disease risk factors, and it has been demonstrated in… read more here.

Keywords: longitudinal data; index; multiple responses; data multiple ... See more keywords
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Estimation and variable selection for partial linear single-index distortion measurement errors models

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Published in 2019 at "Statistical Papers"

DOI: 10.1007/s00362-019-01119-6

Abstract: This paper considers partial linear single-index regression models when all the variables are measured with multiplicative distortion measurement errors. To eliminate the effect caused by the distortion, we propose the conditional absolute mean calibration. This… read more here.

Keywords: measurement errors; distortion; distortion measurement; linear single ... See more keywords
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Empirical likelihood and variable selection for partially linear single-index EV models with missing censoring indicators

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Published in 2020 at "Journal of The Korean Statistical Society"

DOI: 10.1007/s42952-020-00065-6

Abstract: In this paper, we focus on the empirical likelihood inference for partially linear single-index errors-in-variables (EV) models when the data are right censored and the censoring indicator is missing at random (MAR). Two bias-corrected empirical… read more here.

Keywords: likelihood; linear single; empirical likelihood; single index ... See more keywords
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Estimating coefficients of single-index regression models by minimizing variation

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Published in 2018 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2017.1390574

Abstract: ABSTRACT This paper proposes a novel estimation of coefficients in single-index regression models. Unlike the traditional average derivative estimation [Powell JL, Stock JH, Stoker TM. Semiparametric estimation of index coefficients. Econometrica. 1989;57(6):1403–1430; Hardle W, Thomas… read more here.

Keywords: index; regression models; coefficients single; index regression ... See more keywords
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Understanding Implicit Regularization in Over-Parameterized Single Index Model

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Published in 2022 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2022.2044824

Abstract: In this paper, we leverage over-parameterization to design regularization-free algorithms for the high-dimensional single index model and provide theoretical guarantees for the induced implicit regularization phenomenon. Specifically, we study both vector and matrix single index… read more here.

Keywords: single index; regularization; index model; implicit regularization ... See more keywords
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A link-free sparse group variable selection method for single-index model

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Published in 2017 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2016.1254731

Abstract: ABSTRACT For regression problems with grouped covariates, we adapt the idea of sparse group lasso (SGL) [10] to the framework of the sufficient dimension reduction. Assuming that the regression falls into a single-index structure, we… read more here.

Keywords: group; method; group variable; single index ... See more keywords
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Efficient estimation for time-dynamic longitudinal single-index model

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Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1361986

Abstract: ABSTRACT We study the efficient estimation procedure of a new single-index model which can reflect the time-dynamic effects for longitudinal covariates. We propose a efficient estimator of the single-index parameter by using a feasible bias-corrected… read more here.

Keywords: estimation; index; index model; efficient estimation ... See more keywords
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Statistical estimation for a partially linear single-index model with errors in all variables

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Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2018.1425446

Abstract: ABSTRACT This article considers partially linear single-index models with errors in all variables. By using the Pseudo − θ method (Liang, Härdle, and Carroll 1999), local linear regression and simulation-extrapolation (SIMEX) technique (Cook and Stefanski… read more here.

Keywords: errors variables; linear single; model; single index ... See more keywords
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On endogeneity and shape invariance in extended partially linear single index models

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Published in 2019 at "Econometric Reviews"

DOI: 10.1080/07474938.2019.1682313

Abstract: Abstract In this article, the usefulness of the extended generalized partially linear single-index (EGPLSI) model introduced by Xia et al. in its ability to model a flexible shape-invariant specification is elaborated. More importantly, a control… read more here.

Keywords: index; linear single; model; single index ... See more keywords