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High dimensional single index models

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 … WebCorpus ID: 26384446; High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation @inproceedings{Yang2024HighdimensionalNS, title={High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation}, author={Zhuoran Yang and Krishnakumar Balasubramanian and …

Inference In General Single-Index Models Under High-dimensional …

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 reformulated as a proxy linear model whose regression parameter is identifiable. We construct estimates of the regression coefficients of interest that are similar to ... WebWe propose a robust inference method for high‐dimensional single index models with an unknown link function and elliptically symmetrically distributed covariates, focusing on … mobile air conditioner for bays https://marknobleinternational.com

Inference on High-dimensional Single-index Models with …

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 … 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 … 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. injera bread health benefits

Impedance spectroscopy : theory, experiment, and applications

Category:(PDF) Inference In High-dimensional Single-Index …

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High dimensional single index models

Tests for high-dimensional single-index models

WebNon-Gaussian Single Index Models via Thresholded Score Function Estimation 1.1. Challenges of the Single Index Models There are significant challenges that appear … http://proceedings.mlr.press/v70/yang17a/yang17a.pdf

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, … 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, ...

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. 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 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 … Web8 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 …

http://proceedings.mlr.press/v70/yang17a/yang17a.pdf

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 … mobile agents in mobile computingWeb13 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. … injera bread recipe with teffWeb27 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 … injera club south londonWeb2 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 injera country of originWeb1 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. mobile ah ford giessenWebpropagation error, see Klock et al. (2024). The analysis of high-dimensional multi-index models, where p≫ n, is rather limited. We use a PAC-Bayesian estimation approach, see Guedj (2024) and Alquier (2024) for an overview, which was originally developed by Catoni (2004, 2007) and has been adapted to the single-index model mobile ainsworth casinoWebAbstract. 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 … injera everywhere