Outline of the talk: Preference rankings -Geometry of rankings, Overview of statistical methods and models, Recursive partitioning methods for rankings- Prediction Tree for Rankings: theory and algorithm -Binary recursive partitioning, Impurity measure, Class assignment rule, -Prediction strength Experimental evaluation Real world data sets -Irish election data set, European Values Studies data- Concluding remarks
A recursive partitioning method for preference rankings based upon Kemeny distances / D'Ambrosio, Antonio. - (2016).
A recursive partitioning method for preference rankings based upon Kemeny distances
D'AMBROSIO, ANTONIO
2016
Abstract
Outline of the talk: Preference rankings -Geometry of rankings, Overview of statistical methods and models, Recursive partitioning methods for rankings- Prediction Tree for Rankings: theory and algorithm -Binary recursive partitioning, Impurity measure, Class assignment rule, -Prediction strength Experimental evaluation Real world data sets -Irish election data set, European Values Studies data- Concluding remarksFile in questo prodotto:
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