Threshold regressionThe inference of the threshold point in threshold models critically depends on the assumption that the density of the threshold variable at the true threshold point is continuous and bounded
Rangelands, covering half of the global land area, are critically degraded by unsustainable use and climate change. Despite their extensive presence, global assessments of rangeland condition and sustainability are limited. Here we introduce a novel anal
In contrast to generalized linear regression models, QCA has at least two major advantages. First, linear statistical models focus on the net (or unique) effect of each independent variable, such as age, gender, marital status, etc., on the dependent variable, such as loneliness score, based...
A common approach to studying impacts of climatic conditions on migration is reduced-form regression analysis13,38,39,40. Such models can be useful if one seeks to estimate the causal effect of a variable of interest, although accurate inference depends on correct specification of functional forms,...
***p < 0.001, **p < 0.05/6 outcomes = 0.0083, *p < 0.01, †p < 0.05; the p value cut-off for Bonferroni correction = 0.05/6 outcomes = 0.00833; CI is confidence interval. (r) – negatively oriented question; R2 for multivariate regressions. a A set of regression models was used...
展开 关键词: PRINCIPAL COMPONENTS MULTIPLE AND STEPWISE REGRESSION NONPARAMETRIC DENSITY AND REGRESSION ESTIMATION BOOTSTRAP INFERENCE CANONICAL CORRELATION PLS REGRESSION DOI: 10.1080/00103628909368118 被引量: 52 年份: 1989 收藏 引用 批量引用 报错 分享 全部...
The inference model is built such that the projection of the linear combination of 3D shapes fits the set of corresponding 2D skeleton landmarks in the image. In this case, the problem is to find the coefficients of linear combination and the camera-to-body pose (rotation and translation)....
Although once considered uncommon, there is growing evidence of widespread senescence in wildlife populations. However, few studies have examined the traits involved, inter-sexual differences, and environmental correlates of age-specific performance in r
To overcome the limitations mentioned above, we curated a comprehensive senescence transcriptome profile from publicly available RNA sequencing (RNA-seq) data and employed the One-Class Logistic Regression (OCLR) model to learn universal senescence features due to its robustness in negative samples and ...
The second type consists of regression-based one-stage models like Single Shot Multi-Box Detector (SSD) [24], You Only Look Once (YOLO) [25], YOLOv2 [26], and subsequent YOLO versions [27,28]. The rapid advancement in deep learning has injected new vitality into signal detection and ...