Within the framework of the proposed model, regression analysis is carried out to approximate the unknown trend of the true function and to determine the order of the universal kriging model, which has a fixed form with a mean structure dependent on the order of model. In addition, the ...
CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate adaptive regression splines (MARS) espe... Gerhard-Wilhelm ...
In the latest development of the work in [61], an XGC1 simulation of a lower power ITER plasma at Ip = 5 MA yielded a λq close to the experimental regression value [63]. The proposed explanation for the transition from the magnetic drift to the turbulence dominated regimes is an ...
time series analysistime series predictionNavier–Stokes equationsturbulenceradial basis functionsproper orthogonal decompositionThis paper investigates the identification of discrete-time non-linear systems using radial basis functions. A forward regression algorithm based on an orthogonal decomposition of the ...
The use of regression analysis made it possible to identify the main factors of anaerobic performance to achieve the lowest index running time to overcome the 400-meters hurdling. Research materials indicate the need for hypoxic training as improving adaption to hypoxia is the main mechanism for ...
activations. The variances explained by the first and second principal components were 0.45 and 0.42, respectively. (d) Regression analysis on the neural activations of Shared Module for process-1 and process-2. The mean squared error between the true locations of the agents and the locations ...
Persistency of Excitation and Performance Analysis of Deterministic Learning Algorithms Recently, by using the localized radial basis function neural networks (RBFNNs), a deterministic learning theory was proposed for nonlinear system identifi... C Yuan 被引量: 0发表: 2012年 On the persistency of ex...
Analysis of the D. alata genome sequence supports the existence of ancient polyploidy events shared across Dioscoreales. Using a non-parametric statistical test for biased gene loss between subgenomes, we infer that all Dioscorea share an ancient paleo-allotetraploidy, which was followed by species...
smaller the older the admixture event. The association between ancestry with IOI is represented in (d), where the black line represents the regression line of a linear mixed model (mean predicted values and 95% CI). Dot color in (c,d) follows the color-scheme used forpusillusancestry in ...
S Feng,W He,F Li - 《Computational Statistics & Data Analysis》 被引量: 0发表: 2020年 Robust estimation and variable selection for varying-coefficient single-index models based on modal regression: Communications in Statistics - Theory and M... a new efficient and robust penalized estimating pr...