Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Robust second-order stationary spatial blind source separation using generalized sign matrices 

  Sipilä, Mika; Muehlmann, Christoph; Nordhausen, Klaus; Taskinen, Sara (Elsevier, 2024)

  Consider a spatial blind source separation model in which the observed multivariate spatial data are assumed to be a linear mixture of latent stationary spatially uncorrelated random fields. The objective is to recover an ...

• Robustifying principal component analysis with spatial sign vectors 

  Taskinen, Sara; Koch, Inge; Oja, Hannu (Elsevier, 2012)

  In this paper, we apply orthogonally equivariant spatial sign covariance matrices as well as their affine equivariant counterparts in principal component analysis. The influence functions and asymptotic covariance matrices ...

• An Investigation of the Robustness in the Travelling Salesman Problem Routes Using Special Structured Matrices 

  Aziz, Azmin Azliza; Mousavi Abdehgah, Mohsen; Tavana, Madjid; Niaki, Seyed Taghi Akhavan (Taylor & Francis, 2020)

  In this study, the robustness of the Travelling Salesman Problem (TSP) routes is investigated by recognising the special combinatorial structures of Kalmanson matrices. A recognition algorithm encompassing three procedures ...

• Multivariate Independent Component Analysis Identifies Patients in Newborn Screening Equally to Adjusted Reference Ranges 

  Kouři,l Štěpán; de Sousa, Julie; Fačevicová Kamila; Gardlo, Alžběta; Muehlmann, Christoph; Nordhausen, Klaus; Friedecký, David; Adam, Tomáš (MDPI, 2023)

  Newborn screening (NBS) of inborn errors of metabolism (IEMs) is based on the reference ranges established on a healthy newborn population using quantile statistics of molar concentrations of biomarkers and their ratios. ...

• Spatial sign and rank based scatter matrices with applications 

  Sirkiä, Seija (University of Jyväskylä, 2007)