This article introduces a new method of this type, which extends intermediate-rank penalized smoothing to scalar-on-function regression. In the proposed method, which we call principal coordinate ridge regression, one regresses the response on leading principal coordinates defined by a relevant distance...
In particular, he combined the Bayesian procedure with nonparametric approach to estimate the regression function when the error is correlated. For the same regression function, [25] investigated another nonparametric technique based on recursive procedure with two timescales. He states the stochastic ...
:exclamation: This is a read-only mirror of the CRAN R package repository. MECfda — Scalar-on-Function Regression with Measurement Error Correction - GitHub - cran/MECfda: :exclamation: This is a read-only mirror of the CRAN R package repository. ME
beta分布的概率密度的matlab代码分布数据标量回归分析中的分位数函数 作者贡献清单表 数据 抽象的 多形胶质母细胞瘤(GBM)是最常见和最具侵害性的癌症,始于大脑。 大多数GBM诊断是通过医学成像(例如磁共振成像(MRI))进行的,其中MRI提供了广泛的高分辨率图像对比度,可作为临床决策或GBM研究中肿瘤进展的指标。 通常起...
Li, Y., and Hsing, T. (2010), “Uniform Convergence Rates for Nonparametric Regression and Principal Component Analysis in Functional/Longitudinal Data,”The Annals of Statistics, 38, 3321–3351. DOI: 10.1214/10-AOS813. Web of Science ®Google Scholar ...
Permutation test for wavelet-domain scalar-on-function regressionLan Huo
t-distributionModelling functional data in the presence of spatial dependence is of great practical importance as exemplified by applications in the fields of demography, economy and geography, and has received much attention recently. However, for the classical scalar-on-function regression (SoFR) ...
T. (2017). Methods for scalar-on-function regression. International Statistical Review, 85:228-249.Reiss, PT, J Goldsmith, HL Shang, and RT Ogden (2016). Methods for scalar-on-function regres- sion. International Statistical Review in press....
In this contribution, the kernel smoothing of the Relative Error Regression (RE-regression) is used to resolve this problem. Precisely, we use the relative square error to establish an estimator of the Hilbertian regression. As asymptotic results, the Hilbertian observations are assumed to be ...
Default plotting for wavelet-domain scalar-on-function regressionLan Huo