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作者：Chiquet, Julien; Grandvalet, Yves; Charbonnier, Camille
作者单位：Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Universite Paris Saclay; Universite de Technologie de Compiegne
摘要：We consider the problems of estimation and selection of parameters endowed with a known group structure, when the groups are assumed to be sign-coherent, that is, gathering either nonnegative, nonpositive or null parameters. To tackle this problem, we propose the cooperative-Lasso penalty. We derive the optimality conditions defining the cooperative-Lasso estimate for generalized linear models, and propose an efficient active set algorithm suited to high-dimensional problems. We study the asym...
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作者：Liu, Chong; Ray, Surajit; Hooker, Giles; Friedl, Mark
作者单位：Boston University; Cornell University; Cornell University; Boston University
摘要：We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly-periodic and nearly-aperiodic with a predefined period. We show that the factor rotation can be obtained by calculation of canonical correlations between appropriate spaces which make the methodology computationally efficient. Moreover, we demon...
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作者：Chen, Xi; Lin, Qihang; Kim, Seyoung; Carbonell, Jaime G.; Xing, Eric P.
作者单位：Carnegie Mellon University; Carnegie Mellon University
摘要：We study the problem of estimating high-dimensional regression models regularized by a structured sparsity-inducing penalty that encodes prior structural information on either the input or output variables. We consider two widely adopted types of penalties of this kind as motivating examples: (1) the general overlapping-group-lasso penalty, generalized from the group-lasso penalty; and (2) the graph-guided-fused-lasso penalty, generalized from the fused-lasso penalty. For both types of penalti...
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作者：Hartman, Brian M.; Mallick, Bani K.; Talukdar, Debabrata
作者单位：University of Connecticut; Texas A&M University System; Texas A&M University College Station; State University of New York (SUNY) System; University at Buffalo, SUNY
摘要：Global marketing managers are interested in understanding the speed of the new product diffusion process and how the speed has changed in our ever more technologically advanced and global marketplace. Understanding the process allows firms to forecast the expected rate of return on their new products and develop effective marketing strategies. The most recent major study on this topic [Marketing Science 21 (2002) 97-114] investigated new product diffusions in the United States. We expand upon ...
