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High dimensional single index models

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 jul. de 2015 · 2024. TLDR. This work considers estimating the parametric component of single index models in high dimensions using Stein's Lemma to propose estimators …

A 31-plex panel for high-dimensional single-cell analysis of …

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. Web3 de fev. de 2024 · Abstract We study the effects of high-dimensional covariates in the single-index quantile regression model. An improved version of an estimation algorithm is proposed with variable selection. Finite sample performance is studied through an extensive simulation study which highlights the performance of the new procedure. A data analysis … lagat kendra se aap kya samajhte hain vistar se samjhaye https://avanteseguros.com

Optimal Smoothing in Single-Index Models - Project Euclid

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, … 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 follows. In Section 2, we develop the high-dimensional score test and study its asymptotic distributions. We introduce the two-stage procedure in Section 3. 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 … laga torgau gmbh

PAC-Bayes Bounds for High-Dimensional Multi-Index Models …

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High dimensional single index models

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Webpropagation 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 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 …

High dimensional single index models

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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 … 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.

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Web3 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 … 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 …

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 … jedijosh920\u0027s rdr2 trainer nexushttp://proceedings.mlr.press/v70/yang17a/yang17a.pdf jedijosh920\\u0027s rdr2 trainer nexusWeb16 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 … jedijosh920\\u0027s rdr2 trainerWebThe 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 ... jedijosh920\u0027s rdr 2 trainerWeb8 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 … laga tr boden hamburgWebmodel 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. jedijosh920's trainer download linkWebCorpus 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 … jedijosh920\\u0027s trainer