A spatial quantile regression model for driving mechanism of urban heat island by considering the spatial dependence and spatial non-stationary: An example of Beijing, ChinaUrban heat islandSpatial dependenceSp
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 ...
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...
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 ...
"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.,...
Quantile regression applied to child growth trajectories has been proposed in the methodological literature but has only seen limited applications even tho
Learn more about how Forest-based and Boosted Classification and Regression works Illustration Usage This tool supports two model types: forest-based and gradient boosted. Both model types use hundreds of trees, called an ensemble of decision trees, to create a model that can be used for pr...
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...