We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...

We provide evidence for heterogeneous consumer preferences for product quality and game outcome uncertainty (GOU) in Major League Baseball. Using attendance data from 2013 to 2019, we explore functional data clustering techniques to detect common patterns in predictive margins of team-specific...

Abstract The main purpose of the present paper is to investigate the problem of the nonparametric estimation of the expectile regression in which the response variable is scalar while the covariate is a random function. More precisely, an estimator is constructed by using the k Nearest Neighbor...