Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Narisetty, Naveen"'
Autor:
Ojha, Abhishek, Narisetty, Naveen N.
We address the challenge of conducting inference for a categorical treatment effect related to a binary outcome variable while taking into account high-dimensional baseline covariates. The conventional technique used to establish orthogonality for th
Externí odkaz:
http://arxiv.org/abs/2411.17618
In this paper, we consider the multi-armed bandit problem with high-dimensional features. First, we prove a minimax lower bound, $\mathcal{O}\big((\log d)^{\frac{\alpha+1}{2}}T^{\frac{1-\alpha}{2}}+\log T\big)$, for the cumulative regret, in terms of
Externí odkaz:
http://arxiv.org/abs/2109.11612
Soils have been heralded as a hidden resource that can be leveraged to mitigate and address some of the major global environmental challenges. Specifically, the organic carbon stored in soils, called Soil Organic Carbon (SOC), can, through proper soi
Externí odkaz:
http://arxiv.org/abs/2102.02731
Autor:
Boss, Jonathan, Rix, Alexander, Chen, Yin-Hsiu, Narisetty, Naveen N., Wu, Zhenke, Ferguson, Kelly K., McElrath, Thomas F., Meeker, John D., Mukherjee, Bhramar
Publikováno v:
Environmetrics 2021:32(8);e2698
Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose-response relationship between toxicants and health outcomes of intere
Externí odkaz:
http://arxiv.org/abs/2003.12844
Climate field reconstructions (CFR) attempt to estimate spatiotemporal fields of climate variables in the past using climate proxies such as tree rings, ice cores, and corals. Data Assimilation (DA) methods are a recent and promising new means of der
Externí odkaz:
http://arxiv.org/abs/1909.01273
Publikováno v:
Statistics in Medicine. 2021; 1- 22
Permutation methods are commonly used to test significance of regressors of interest in general linear models (GLMs) for functional (image) data sets, in particular for neuroimaging applications as they rely on mild assumptions. Permutation inference
Externí odkaz:
http://arxiv.org/abs/1906.09004
Publikováno v:
Statistica Sinica, 2022 Jan 01. 32(1), 131-152.
Externí odkaz:
https://www.jstor.org/stable/27108517
We consider a Bayesian framework for estimating a high-dimensional sparse precision matrix, in which adaptive shrinkage and sparsity are induced by a mixture of Laplace priors. Besides discussing our formulation from the Bayesian standpoint, we inves
Externí odkaz:
http://arxiv.org/abs/1805.02257
Autor:
Narisetty, Naveen a, Koenker, Roger b, ⁎
Publikováno v:
In Journal of Econometrics January 2022 226(1):192-203
Autor:
Narisetty, Naveen N., Nair, Vijayan N.
We propose a new notion called `extremal depth' (ED) for functional data, discuss its properties, and compare its performance with existing concepts. The proposed notion is based on a measure of extreme `outlyingness'. ED has several desirable proper
Externí odkaz:
http://arxiv.org/abs/1511.00128