High dimensional single index models

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August undefined, 2024

Web7 de mai. de 2024 · 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 … Web20 de jun. de 2024 · Abstract. Single-index models are potentially important tools for multivariate nonparametric regression analysis. They generalize linear regression models by replacing the linear combination \alpha^T_0 with a nonparametric component \eta_0 ( {\alpha^T_0})X, where \eta_0 (\cdot) is an unknown univariate link function.

[1909.03540] Inference In High-dimensional Single-Index Models …

Webin high-dimensional single-index models that is p n-consistent and asymptotically unbiased under sparsity assumptions on the regression coe cient, and to the best … city bark vancouver wa

Generalized Functional Partially Linear Single-index Models

Webinvolves only high-dimensional parameters. The strategy for the high-dimensional single-index model does not work for the model (1.1), which has multiple index-es and speciﬁc structure. In the paper, we provide a semiparametrically eﬃcient and computationally convenient estimator for all of parameters and functions in high-dimensional SMIM. Web1 de fev. de 2024 · Inference In High-dimensional Single-Index Models Therefore as long as σ and L are uniformly bounded (in n ), the subgaussian norm of z is also uniformly bounded and assumption 4 is satisﬁed. Webregression model when p = 1, and the traditional single-index model (Ichimura (1993)) when a(-) is a positive constant. Here we allow for heteroscedasticity. The single-index structure in (1.1) retains the flexibility of nonparametric regres sion and allows the presence of high-dimensional covariates. city bark webcam

High-dimensional Non-Gaussian Single Index Models via …

Web8 de set. de 2024 · Inference In General Single-Index Models Under High-dimensional Symmetric Designs. We consider the problem of statistical inference for a finite number of covariates in a generalized single-index model with p > n covariates and unknown (potentially random) link function under an elliptically symmetric design. Under elliptical … Web2 de fev. de 2024 · Abstract. In this paper, we aim to test the overall significance of regression coefficients in high-dimensional single-index models. We first reformulate … dicks sporting grand islandWeb1 de dez. de 2016 · To treat higher dimensional predictors, the estimation procedure must be accompanied by a variable selection step. Recently, several approaches have been … dicks sporting good youth life jackets

"Webmodel via SGD with non-stationary, high-dimensional streaming data. Shi et al. (2024) in-troduced a valid inference method for single or low-dimensional regression coeﬃcients via a recursive online-score estimation technique. Deshpande et al. (2024) considered a class of online estimators in a high-dimensional auto-regressive model. " - High dimensional single index models

High dimensional single index models

WebDOAJ is a unique and extensive index of diverse open access journals from around the world, ... A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry Web1 de jan. de 2024 · Abstract. We consider a flexible semiparametric single-index quantile regression model where the number of covariates may be ultra-high dimensional, and the number of the relevant covariates is potentially diverging. The approach is particularly appealing to uncover the complex heterogeneity in high-dimensional data, incorporate …

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Web27 de mar. de 2024 · Abstract. In this article, we leverage over-parameterization to design regularization-free algorithms for the high-dimensional single index model and … Web30 de jun. de 2015 · Single Index Models (SIMs) are simple yet flexible semi-parametric models for classification and regression. Response variables are modeled as a …

WebWe propose a robust inference method for high‐dimensional single index models with an unknown link function and elliptically symmetrically distributed covariates, focusing on … Webtesting problem in high-dimensional single-index model. Suitable test statistic is introduced and its asymptotic normality is also established. The paper is organized as …

WebSingle-index models generalize linear regression. They have applications to a variety of fields, such as discrete choice analysis in econometrics and dose response models in biometrics, where high-dimensional regression models are often employed. Single-index models are similar to the first step of projection pursuit regression, a dimension … WebAbstract. In this article, we consider the problem of hypothesis testing in high-dimensional single-index models. First, we study the feasibility of applying the classical F-test to a …

WebIn this article, we consider the problem of hypothesis testing in high-dimensional single-index models. First, we study the feasibility of applying the classical F-test to a single-index model when the dimension of covariate vector and sample size are of the same order, and derive its asymptotic null distribution and asymptotic local power function. For …

Web1 de mai. de 2024 · 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 ... dicks sporting good youtubeWeb27 de mar. de 2024 · Abstract. In this article, 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. city bark webcam littletonWebThe problem of statistical inference for regression coefficients in a high-dimensional single-index model is considered. Under elliptical symmetry, the single index model can be … dicks sporting las vegasWeb17 de mai. de 2024 · We consider a high-dimensional monotone single index model (hdSIM), which is a semiparametric extension of a high-dimensional generalize linear model (hdGLM), where the link function is unknown, but constrained with monotone and non-decreasing shape. We develop a scalable projection-based iterative approach, the … dicks sporting nearby 32168http://proceedings.mlr.press/v70/yang17a/yang17a.pdf dicks sporting johnson city tnWeb3 de out. de 2024 · Inference on High-dimensional Single-index Models with Streaming Data. Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jian, Linglong … dicks sporting headquartersWebThe problem of statistical inference for regression coefficients in a high-dimensional single-index model is considered. Under elliptical symmetry, the single index model can be reformulated as a proxy linear model whose regression parameter is identifiable. We construct estimates of the regression coefficients of interest that are similar to ... dicks sporting miami