BayesiaLab 5.3: New Features & Updates (03/2014)
Here is a small selection of the new or updated features released in BayesiaLab 5.3:
uses counterfactuals to measure the "added value" of individual driver on the target variable.
Conditional Probability Trees
can take advantage of contextual independencies in the parent-to-child relationships.
can now be performed with a limited number of questions.
Markov Blanket Export in Visual Basic
Evidence Data Weighting
for using the set of Evidence defined on the current network to compute a weight for each row of the data set.
New missing values processing with
and Most Probable Explanation Imputations
using Structural Coefficients.