High dimensional single index models

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August undefined, 2024

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 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 …

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

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 … 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 harley davidson novelty toaster with sound

Structured Ultrahigh Dimensional Multiple-Index Models With …

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. Web11 de abr. de 2024 · Model checking methods based on non-parametric estimation are widely used because of their tractable limiting null distributions and being sensitive to high-frequency oscillation alternative models. However, this kind of test suffers from the curse of dimensionality, resulting in slow convergence, especially for functional data with infinite … 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. chanjo health portal

Inference on High-dimensional Single-index Models with …

Variable selection in the single-index quantile regression model …

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. 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 … harley davidson notepadWeb1 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 … chanjo health

"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 … " - High dimensional single index models

High dimensional single index models

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

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 ... 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 …

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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 … WebPreface. Preface to the First Edition. Contributors. Contributors to the First Edition. Chapter 1. Fundamentals of Impedance Spectroscopy (J.Ross Macdonald and William B. Johnson). 1.1. Background, Basic Definitions, and History. 1.1.1 The Importance of Interfaces. 1.1.2 The Basic Impedance Spectroscopy Experiment. 1.1.3 Response to a Small-Signal …

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 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, ...

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

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.

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, … chanjocovid mohWebinvolves 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. harley davidson nursing scrubsWeb1 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 … harley davidson nostalgic footboard insertsWebNon-Gaussian Single Index Models via Thresholded Score Function Estimation 1.1. Challenges of the Single Index Models There are signiﬁcant challenges that appear … harley davidson nwaWeb8 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 … chanjo health go keWeb1 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 ... harley davidson nuts and boltsWeb8 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 … harley davidson nut covers