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1.
Miettinen, J.* et al.: Separation of uncorrelated stationary time series using autocovariance matrices. J. Time Ser. Anal. 37, 337-354 (2016)
2.
Illner, K. et al.: Model selection using limiting distributions of second-order blind source separation algorithms. Signal Process. 113, 95-103 (2015)
3.
Illner, K.: Probabilistic blind source separation for data with network structures. München, Technische Universität, Fakultät für Mathematik, Diss., 2015, 176 S.
4.
Illner, K. ; Fuchs, C. & Theis, F.J.: Bayesian blind source separation for data with network structure. J. Comput. Biol. 21, 855-865 (2014)
5.
Illner, K. ; Fuchs, C. & Theis, F.J.: Bayesian blind source separation applied to the lymphocyte pathway. In: Gillli, M.* ; Gonzalez-Rodriguez, G.* ; Nieto-Reyes, A.* [Eds.]: Proccedings (21st International Conference on Computational Statistics (COMPSTAT2014), 19-22 August 2014, Geneva, Switzerland). 2014. 625-632
6.
Illner, K. ; Fuchs, C. & Theis, F.J.: Single-cell analysis: Biology at high resolution. Sep. Sci. Appl. 34, 24-26 (2014)
7.
Illner, K. ; Fuchs, C. & Theis, F.J.: Einzelzellanalysen: Biologie in Hochauflösung. GIT Fachz. Lab. 9, 28-30 (2014)
8.
Illner, K. ; Fuchs, C. & Theis, F.J.: Blind source separation using latent gaussian graphical models. In: Larjo, A.* ; Schober, S.* ; Farhan, M.* ; Bossert, M.* ; Yli-Harja, O.* [Eds.]: Proceedings (Ninth International Workshop on Computational Systems Biology, WCSB 2012, June 4-6, 2012, Ulm, Germany). Tampere, Finnland: Tampere International Center for Signal Processing, 2012. 43-46 (Proc. WCSB ; 61)