High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso

29 Jan 2015Samrachana AdhikariFabrizio LecciJames T. BeckerBrian W. JunkerLewis H. KullerOscar L. LopezRyan J. Tibshirani

We study regularized estimation in high-dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed coefficient estimates are piecewise constant across the time dimension in the longitudinal problem, with adaptively selected change points (break points)... (read more)

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