Spatial regressionVine copulasC-vine copulaAsymmetric Laplace distributionA spatial quantile regression model is proposed to estimate the quantile curve for a given probability of non-exceedance, as function of locations and covariates. Canonical vines copulas are......
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 ...
sustainability Article Heterogeneous Effects of ICT across Multiple Economic Development in Chinese Cities: A Spatial Quantile Regression Model Congbo Chen * and Azhong Ye * School of Economics & Management, Fuzhou University, Fuzhou 350108, China * Correspondence: Chenconb@163.com (C.C.); ye...
A Spatial Quantile Regression Hedonic Model ofAgricultural Land PricesPHILIP KOSTOV(Received February 2008; accepted August 2008)ABSTRACTcharacteristics on price. Owing to the spatial fixity ofland, however, the question ofpossible spatialdependence in agricultural land prices arises. The presence ofspatial...
In order to detect the different effects of influencing factors on air quality index (AQI) between lower-AQI and higher-AQI cities, this study applies a spatial quantile regression model (SQRM) to investigate heterogeneity of influential factors on AQI, while accounting for spatial autocorrelation ...
In particular, we argue that the main advantage of using the copula based quantile regression model arises from the consideration that the copula allows great flexibility in dependence modelling overcoming some limits of the classical regression, firstly linearity that, in this context, could result in...
To detect DEGs and correct the batch effects, we used a logistic regression framework. For each gene, we constructed a logistic regression model to predict the sample conditions C by considering the batch information S, C ~ E + S, and compared it with a null model, C ~ 1...
Model Using Ordinary Least Squares With White Errors Associated With COVID-19 Mortality Rate eTable 3. Spatial Error Model with HET Standard Errors Associated With COVID-19 Mortality Rate (Excluding January and February 2021) eReferences 1. The Atlantic Monthly Group. The COVID Racial Data Tracke...
The profit model and income expectations have attracted a large transregional migrant population. Challenges for grassroots governance in Dongguan Dongguan has a larger migrant population than other cities do; 98% of this population is engaged in industrial production, and it is mainly distributed in ...
There are different methods to handle the spatial lag component in a quantile regression model. Kim and Muller (2004) introduced the Two-Stage Quantile Regression (2SQR) which requires the estimation of two consecutive quantile regressions. In this paper, however, We used an Instrumental Variable ...