quantile regressionIn a number of applications, a crucial problem consists in describing and analyzing the influence of a vector Xi of covariates on some real-valued response variable Yi. In the present context, where the observations are made over a collection of sites, this study is more ...
The proposed model, here referred to as the Generalized latent-spatial-quantile regression model, is thus appropriate when some covariates are indicators of latent factors that can be used as predictors in the quantile regression and the variables are supposed to be spatially correlated. It is ...
Rapid urbanization in China is closely related to the contributions of the migrant population. Dongguan, a megacity located in the hinterland of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), has the highest proportion of the migrant population to
To recover the spatial organization of microbes and host from our data, we defined the expression of host genes and abundance of bacterial genera in each spot, mapped those to 16 defined morphological regions of interest (MROIs) (Fig.3a) to identify characteristic patterns and, finally, visualiz...
pollution levels). The presence of residual spatial autocorrelation was examined using the Moran Index for the analysis of both PM10and ozone, which led to evidence of the potential biased estimators; therefore, a spatial regression was applied in the quantile analysis to obtain accurate coefficients...
"Quantile regression forests". Journal of Machine Learning Research 7. Juni (2006): 983-999. Nadeau, C., & Bengio, Y. (2000). Inference for the generalization error. In Advances in neural information processing systems (S. 307-313). Strobl, C., Boulesteix, A. L., Kneib, T., ...
If local ERF pop-up charts are created, the target exposure values and associated outcomes will be shown in the pop-ups of each feature. Double Lower Exposure Quantile (Optional) The lower quantile that will be used to trim the exposure variable. Any observations with exposure values below thi...
and summing them all together. In this study, the FR values were overlaid on the weighted sum tool by assigning equal weight (1) to all factors. The sum of all frequency ratio values will result in a landslide index map, which was categorized by the quantile classification method into five...
Color of the paired dots represents the paired mice ID (two-tailed paired t test is used to calculate the P values; n = 3 independent mice per group; the center is the median value, bounds of box indicate the first and third quantile; the minima are defined as the minimum values ...
Unlike traditional linear regression, where model parameters are assumed to be constant across the spatial domain, in Geographically Weighted Regression these parameters can vary locally. More specifically, in the present research, a Geographically Weighted Poisson Regression (GWPR) model was applied to ...