High dimensional single index models

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August undefined, 2024

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 … 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. …

Understanding Implicit Regularization in Over-Parameterized Single ...

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 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 … 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 razer hav a gaming chair

Forward selection and estimation in high dimensional single index …

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, ... 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. 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 … razer headphone ear cups

Learning Single Index Models in High Dimensions DeepAI

Inference In 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 … Web1 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 ... simpson-bowlesWeb1 de jul. de 2015 · This paper focuses instead on single index models, which are becoming increasingly popular in many scientific fields including biostatistics, economics and … simpson bowles budget proposal

"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 … " - High dimensional single index models

High dimensional single index models

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 … 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 …

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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 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 …

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. 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 …

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. 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 …

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 …

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. simpson bossWebAbstract. 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 … simpson booth ltdWebIn 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 … simpson booth recruitmentWeb11 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, … simpson bp1/2-3hdgWeb8 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 … razer headphone equalizer simpson bowersWebSingle-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 … simpson bp5/8-3hdg