High dimensional single index models

Author: eusi

August undefined, 2024

Web2 de fev. de 2024 · PDF On Feb 2, 2024, Leheng Cai and others published Tests for high-dimensional single-index models * Find, read and cite all the research you need on ResearchGate WebNon-Gaussian Single Index Models via Thresholded Score Function Estimation 1.1. Challenges of the Single Index Models There are signiﬁcant challenges that appear …

[2210.00937] Inference on High-dimensional Single-index Models …

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 … 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 … northern navigators orienteering

Forward selection and estimation in high dimensional single index …

Web13 de mar. de 2016 · Single Index Models (SIMs) are simple yet flexible semi- parametric models for machine learning, where the response variable is modeled as a monotonic function of a linear combination of features. Estimation in this context requires learning both the feature weights and the nonlinear function that relates features to observations. … 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. northern navajo medical center in shiprock nm

Learning Single Index Models in High Dimensions DeepAI

Understanding Implicit Regularization in Over-Parameterized Single ...

Web17 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 … 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 … northern navajo medical center nmWeb20 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. northern navajo medical center pharmacy hours

"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 provide theoretical guarantees for the induced implicit regularization phenomenon. " - High dimensional single index models

High dimensional single index models

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. Web3 de out. de 2024 · High-dimensional non-gaussian single index models via thresholded score function estimation. In International Conference on Machine Learning, pages 3851-3860. PMLR.

Did you know?

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 … Web16 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 …

WebWe propose a robust inference method for high‐dimensional single index models with an unknown link function and elliptically symmetrically distributed covariates, focusing on signal recovery and inference. The proposed method is built on the Huber loss and the estimation of the unknown link function is avoided. The ℓ1$$ {\\ell}_1 $$ and ℓ2$$ {\\ell}_2 $$ … WebNon-Gaussian Single Index Models via Thresholded Score Function Estimation 1.1. Challenges of the Single Index Models There are signiﬁcant challenges that appear when we are dealing with estimators for SIMs. They can be summa-rized as assumptions on either the link function or the data distribution (for example, non-Gaussian assumption). 1.

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 … WebDRIVES EPSON SCAN POWERSCAN SUPER XL DRIVE The Super XL Drive allows you to store 3,5MB on a high dens VIDEO BACKUP 3 GVP HC-8 SCSI 3.5 SUPER XL DRIVE £123,95 1.76 XL ... The EZ Drive stores 135MB on a single 3.S" cartridge ... STH DIMENSION EUROSCENE 2 MEETING PEARLS 3 £17-99 E17-* £17.96 E14M £9.99 A …

Web20 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, ...

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. northern navajo medical center labhttp://proceedings.mlr.press/v70/yang17a/yang17a.pdf northern navajo fair shiprockWeb11 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, … northern navajo medical center shiprockWebmodel 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 … how to run a dll as an exeWeb8 de set. de 2024 · Inference In High-dimensional Single-Index Models Under Symmetric Designs. Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov. The 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 … how to run a docker container locallyWeb1 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 … northern navigatorsWebDOAJ 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 how to run adpreclone