Regression with Ordered Predictors via Ordinal Smoothing Splines
نویسندگان
چکیده
منابع مشابه
Regression with Ordered Predictors via Ordinal Smoothing Splines
Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables in regression models, which is theoretically and/or computationally undesirable. In this paper, we discuss the benefit of taking a smoothing sp...
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Ordered categorial predictors are a common case in regression modeling. In contrast to the case of ordinal response variables, ordinal predictors have been largely neglected in the literature. In this article penalized regression techniques are proposed. Based on dummy coding two types of penalization are explicitly developed; the first imposes a difference penalty, the second is a ridge type r...
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ژورنال
عنوان ژورنال: Frontiers in Applied Mathematics and Statistics
سال: 2017
ISSN: 2297-4687
DOI: 10.3389/fams.2017.00015