Although the path of exposure indicator terms leading to each terminal node in a C&RT tree may indicate interaction, this is not always the case. For example, suppose a tree splits first after the third quartile of PM2.5 and then both branches go on to split between the second and third ...
The Microsoft Decision Trees algorithm applies the Bayesian approach to learning causal interaction models by obtaining approximate posterior distributions for the models. For a detailed explanation of this approach, see the paper on the Microsoft Research site, byStructure and Parameter Learning. ...
the algorithm is easy to use, once the requisite data has been prepared, and it produces results that are easy to understand. Other widely used decision tree algorithms include the Chi-squared Automatic Interaction Detector (Kass, 1980), andMultivariate Adaptive Regression Splines(Friedman, 1991)....
(gymnosperms) tend to show stronger and longer legacies in radial growth after drought (slower recovery) than Fagaceae species (angiosperms)30,34. Nonetheless, little is known about how these legacies affect the ability of trees to cope with future drought events in terms of mortality risk, ...
Parsimonious context trees, PCTs, provide a sparse parameterization of conditional probability distributions. They are particularly powerful for modeling c
First, tree-growing is anthropomorphically defined. Tree-growing is imagined in terms of raising children (indeed as an ideal form of child-rearing). The growth of timber trees is mediated both by the actual human labour applied to them and by (anthropomorphic) ideas about their normat...
In terms of objective predictors, we found that men were more sensitive to the impact of AQI on psychological distress (accounting for 9.74%) than women (accounting for 8.98%), while women were more sensitive to the influence of the direct distance to the nearest COVID-19 hospital on ...
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The IGA optimizes problem-solving through user interaction to address issues that cannot be defined with formulas. However, a core issue with IGAs is user fatigue as prolonged evaluations can lead to fatigue. When users feel fatigued, their efficiency and productivity may decrease. Fatigue affects...