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1
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…
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Keywords:
model;
single index;
propensity score;
causal inference ... See more keywords
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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…
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Keywords:
high dimensional;
index;
censored responses;
single index ... See more keywords
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2
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…
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Keywords:
longitudinal data;
index;
multiple responses;
data multiple ... See more keywords
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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…
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Keywords:
measurement errors;
distortion;
distortion measurement;
linear single ... See more keywords
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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…
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Keywords:
likelihood;
linear single;
empirical likelihood;
single index ... See more keywords
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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…
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Keywords:
index;
regression models;
coefficients single;
index regression ... See more keywords
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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…
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Keywords:
single index;
regularization;
index model;
implicit regularization ... See more keywords
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1
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…
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Keywords:
group;
method;
group variable;
single index ... See more keywords
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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…
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Keywords:
estimation;
index;
index model;
efficient estimation ... See more keywords
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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…
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Keywords:
errors variables;
linear single;
model;
single index ... See more keywords
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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…
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Keywords:
index;
linear single;
model;
single index ... See more keywords