Smoothing by Local Regression: Principles and Methods

1996 ◽  
pp. 10-49 ◽  
Author(s):  
William S. Cleveland ◽  
Clive Loader
Keyword(s):  
Local Regression

scholarly journals [Local Regression: Automatic Kernel Carpentry]: Rejoinder

1993 ◽  
Vol 8 (2) ◽  
pp. 139-143 ◽  
Author(s):  
Trevor Hastie ◽  
Clive Loader
Keyword(s):  
Local Regression

Social-ecological factors determine spatial variation in human incidence of tick-borne ehrlichiosis

2013 ◽  
Vol 142 (9) ◽  
pp. 1911-1924 ◽  
Author(s):  
B. R. BAYLES ◽  
B. F. ALLAN
Keyword(s):  
Socioeconomic Factors ◽  
Ecological Factors ◽  
Host Density ◽  
Positive Association ◽  
Local Variation ◽  
Reservoir Host ◽  
Local Regression ◽  
Targeted Interventions ◽  
Public Health Authorities ◽  
The Usa

SUMMARYThe spatial distribution of human cases of tick-borne diseases is probably determined by a combination of biological and socioeconomic factors. A zoonotic tick-borne pathogen, Ehrlichia chaffeensis, is increasing in human incidence in the USA. In this study, the spatial patterns of probable and confirmed E. chaffeensis-associated cases of ehrlichiosis from 2000 to 2011 were investigated at the zip-code level in Missouri. We applied spatial statistics, including global and local regression models, to investigate the biological and socioeconomic factors associated with human incidence. Our analysis confirms that the distribution of ehrlichiosis in Missouri is non-random, with numerous clusters of high incidence. Furthermore, we identified significant, but spatially variable, associations between incidence and both biological and socioeconomic factors, including a positive association with reservoir host density and a negative association with human population density. Improved understanding of local variation in these spatial factors may facilitate targeted interventions by public health authorities.

Multi-organ localization with cascaded global-to-local regression and shape prior

2015 ◽  
Vol 23 (1) ◽  
pp. 70-83 ◽  
Author(s):  
Romane Gauriau ◽  
Rémi Cuingnet ◽  
David Lesage ◽  
Isabelle Bloch
Keyword(s):  
Shape Prior ◽  
Local Regression
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