Functional data analysis applied to intertemporal choice data from 107 participants shows that subjective time deformation has a low-dimensional structure captured by three stable functional profiles not fully recovered by scalar discount rates or standard parametric models.
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers.Computational Statistics, 39(1):239–270, July 2022
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Subjective Time Deformation in Intertemporal Choice: A Functional Data Analysis Approach
Functional data analysis applied to intertemporal choice data from 107 participants shows that subjective time deformation has a low-dimensional structure captured by three stable functional profiles not fully recovered by scalar discount rates or standard parametric models.