Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Dai, Xiongtao"'
Implementation of spatial generalized linear models with a functional covariate can be accomplished through the use of a truncated basis expansion of the covariate process. In practice, one must select a truncation level for use. We compare five crit
Externí odkaz:
http://arxiv.org/abs/2403.03389
We extend generalized functional linear models under independence to a situation in which a functional covariate is related to a scalar response variable that exhibits spatial dependence. For estimation, we apply basis expansion and truncation for di
Externí odkaz:
http://arxiv.org/abs/2402.13472
Data depth is a powerful nonparametric tool originally proposed to rank multivariate data from center outward. In this context, one of the most archetypical depth notions is Tukey's halfspace depth. In the last few decades notions of depth have also
Externí odkaz:
http://arxiv.org/abs/2311.07034
Inference for functional linear models in the presence of heteroscedastic errors has received insufficient attention given its practical importance; in fact, even a central limit theorem has not been studied in this case. At issue, conditional mean e
Externí odkaz:
http://arxiv.org/abs/2311.07031
A representation of Gaussian distributed sparsely sampled longitudinal data in terms of predictive distributions for their functional principal component scores (FPCs) maps available data for each subject to a multivariate Gaussian predictive distrib
Externí odkaz:
http://arxiv.org/abs/2109.02236
Autor:
Dai, Xiongtao, Lopez-Pintado, Sara
We develop a novel exploratory tool for non-Euclidean object data based on data depth, extending the celebrated Tukey's depth for Euclidean data. The proposed metric halfspace depth, applicable to data objects in a general metric space, assigns to da
Externí odkaz:
http://arxiv.org/abs/2109.00493
Data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite is essential to many carbon management strategies. A retrieval algorithm is used to estimate CO2 concentration using the radiance data measured by OCO-2. However, due to factors such as
Externí odkaz:
http://arxiv.org/abs/2101.09418
Autor:
Dai, Xiongtao
The infinite-dimensional Hilbert sphere $S^\infty$ has been widely employed to model density functions and shapes, extending the finite-dimensional counterpart. We consider the Fr\'echet mean as an intrinsic summary of the central tendency of data ly
Externí odkaz:
http://arxiv.org/abs/2101.00527
We consider the estimation of densities in multiple subpopulations, where the available sample size in each subpopulation greatly varies. This problem occurs in epidemiology, for example, where different diseases may share similar pathogenic mechanis
Externí odkaz:
http://arxiv.org/abs/2012.10009
Publikováno v:
Statistica Sinica, 2022 Jan 01. 32(1), 179-180.
Externí odkaz:
https://www.jstor.org/stable/27108519