Browse ORBilu by Open Access
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ORBilu is a project developed by
  A new R package for Finite Mixture Models with an application to pension systemsSchiltz, Jang  ; Scientific Conference (2022, April 20) Detailed reference viewed: 32 (3 UL)TrajeR an R package for the clustering of longitudinal data; Schiltz, Jang Scientific Conference (2020, June 04) Detailed reference viewed: 72 (0 UL)Identifiability of Finite Mixture Models; Schiltz, Jang Scientific Conference (2020, June 04) Detailed reference viewed: 24 (0 UL)Identifiability of Finite Mixture Models with underlying Normal Distribution; Schiltz, Jang E-print/Working paper (2020) In this paper, we show under which conditions generalized finite mixture with underlying normal distribution are identifiable in the sense that a given dataset leads to a uniquely determined set of model ... [more ▼] In this paper, we show under which conditions generalized finite mixture with underlying normal distribution are identifiable in the sense that a given dataset leads to a uniquely determined set of model parameter estimations up to a permuta-tion of the clusters. [less ▲] Detailed reference viewed: 41 (0 UL) |
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