Tawfik B, Durand DM (1994) Nonlinear parameter-estimation by linear association—application to a 5-parameter passive neuron model. IEEE Transactions on Biomed. Eng. , 41(5): 461–469.Tawfik B, Durand DM (1994) Nonlinear parameter estimation by linear association: application to a five-...
Although the investigation of instructional leadership and teacher professional learning is well-documented in the literature, one overlooked question concerns the linear and nonlinear relationships between these two variables. This study aims to examine the linear and nonlinear relationships of principal inst...
The nonlinear XGBoost algorithm outperforms the linear LASSO when trained on the same SNP set (Fig.3gray vs teal) for all phenotypes. The improved performance may stem either from modeling nonlinear genetic effects or interactions between SNPs, or both, since both of these are addressed by the ...
By considering that, the parameters of nonlinear regression models have physiological meanings, they are preferable relation to linear regression models. The aim of this study was to collect and evaluate the high visibility non-linear regression models in the growth analysis studies of rice plant. ...
(β11;Γ2are non-significant). Satisfaction with personal relationships has a positive association with SRH (π2; B), so that an increase of 1 point in satisfaction with relationships yields a 0.044 (0.043 in the LCM) increase in SRH. Finally, compared to the error variance (σ2E), ...
In the case of the chair/move scale (PC1) we found a positive association with wiener entropy (LM: β = 0.283; t = 3.11; p = 0.002; Fig. 7A,B): more active dogs spent more time orienting to and exploring the chair where the owner sat, and produced whines with a ...
Association between lipid accumulation and the cannabinoid system in Huh7 cells expressing HCV genes. Evidence from clinical and laboratory studies has accumulated indicating that the activation of the cannabinoid system is crucial for steatosis, especially... M Toyoda,A Kitaoka,K Machida,... - 《In...
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In recent decades, research has increasingly focused on nonlinear measures of EEG, such as brain signal variability and complexity (Takahashi2013; Garrett et al.2013; Van Noordt and Willoughby2021). Variability is one of the most basic measures of the EEG signal. It estimates the range of value...
Linear or nonlinear? automatic structure discovery for partially linear models. J Am Stat Assoc. 2011;106:1099–112. Article CAS PubMed PubMed Central Google Scholar Brimacombe M. High-dimensional data and linear models: a review. Open Access Med Stat. 2014;4:17–27. Article Google ...