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
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