scholarly journals Bayesian regression tree ensembles that adapt to smoothness and sparsity

2018 ◽  
Vol 80 (5) ◽  
pp. 1087-1110 ◽  
Author(s):  
Antonio R. Linero ◽  
Yun Yang
Keyword(s):  
Regression Tree ◽  
Bayesian Regression

scholarly journals A Bayesian regression tree approach to identify the effect of nanoparticles’ properties on toxicity profiles

2015 ◽  
Vol 9 (1) ◽  
pp. 383-401 ◽  
Author(s):  
Cecile Low-Kam ◽  
Donatello Telesca ◽  
Zhaoxia Ji ◽  
Haiyuan Zhang ◽  
Tian Xia ◽  
...  
Keyword(s):  
Regression Tree ◽  
Bayesian Regression ◽  
Tree Approach

Drivers of diversity gradients of a highly mobile marine assemblage in a mesoscale seascape

2020 ◽  
Vol 638 ◽  
pp. 149-164
Author(s):  
GM Svendsen ◽  
M Ocampo Reinaldo ◽  
MA Romero ◽  
G Williams ◽  
A Magurran ◽  
...  
Keyword(s):  
Environmental Gradients ◽  
Regression Tree ◽  
Demersal Fish ◽  
Open Ocean ◽  
Shared Resources ◽  
Thermal Front ◽  
Boosted Regression Tree ◽  
Diversity Gradients ◽  
Α Diversity ◽  
Bottom Depth

With the unprecedented rate of biodiversity change in the world today, understanding how diversity gradients are maintained at mesoscales is a key challenge. Drawing on information provided by 3 comprehensive fishery surveys (conducted in different years but in the same season and with the same sampling design), we used boosted regression tree (BRT) models in order to relate spatial patterns of α-diversity in a demersal fish assemblage to environmental variables in the San Matias Gulf (Patagonia, Argentina). We found that, over a 4 yr period, persistent diversity gradients of species richness and probability of an interspecific encounter (PIE) were shaped by 3 main environmental gradients: bottom depth, connectivity with the open ocean, and proximity to a thermal front. The 2 main patterns we observed were: a monotonic increase in PIE with proximity to fronts, which had a stronger effect at greater depths; and an increase in PIE when closer to the open ocean (a ‘bay effect’ pattern). The originality of this work resides on the identification of high-resolution gradients in local, demersal assemblages driven by static and dynamic environmental gradients in a mesoscale seascape. The maintenance of environmental gradients, specifically those associated with shared resources and connectivity with an open system, may be key to understanding community stability.

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