High dimensional single index models
http://proceedings.mlr.press/v70/yang17a/yang17a.pdf 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
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Web11 de abr. de 2024 · The ICESat-2 mission The retrieval of high resolution ground profiles is of great importance for the analysis of geomorphological processes such as flow processes (Mueting, Bookhagen, and Strecker, 2024) and serves as the basis for research on river flow gradient analysis (Scherer et al., 2024) or aboveground biomass estimation (Atmani, … Web1 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 …
WebWe propose a robust inference method for high‐dimensional single index models with an unknown link function and elliptically symmetrically distributed covariates, focusing on … 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 …
WebThe 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 … 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 …
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 …
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 … chill high tech limitedWeb16 de jul. de 2024 · Download PDF 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 models where … graceful hawk with pointed wingsWebDOAJ 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 chill high paying jobsWeb20 de set. de 2014 · Single Index Model; Slicing Inverse Regression; Sufficient Dimension Reduction; License Unknown Abstract. ... The existing statistical inference, however, often encounters difficulties due to high-dimensional covariates, ... graceful heart amulet necklace gift setWebSingle-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 … graceful health chiropracticchill hill hoogvlietWeb20 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. graceful holdings