Chunk #51 — The Methods — How Do Classification and Regression Trees Work? — Model-Based Recursive Partitioning

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An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

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An extension of model based partitioning for Bradley-Terry models is suggested by Strobl, Wickelmaier, and Zeileis (2009). An application to mixed models, including the Rasch Model as a special case (as a generalized linear mixed model, see Rijmen, Tuerlinckx, Boeck, and Kuppens 2003; Doran, Bates, Bliese, and Dowling 2007), is currently investigated by Sanchez-Espigares and Marco (2008).