Generative embedding and variational Bayesian inference for multivariate time series

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Author
Brodersen, Kay H
Date
2012
Type
  • Doctoral Thesis
Rights / license
In Copyright - Non-Commercial Use Permitted
Permanent link
https://doi.org/10.3929/ethz-a-007558873
Publication status
published
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Contributors
Examiner: Buhmann, Joachim M.
Examiner: Stephan, Klaas E.
Publisher
ETH
Subject
BAYESIAN THEORY (PROBABILITY THEORY); MODELLRECHNUNG UND SIMULATION IN DER NEUROLOGIE; TIME SERIES ANALYSIS (MATHEMATICAL STATISTICS); NERVENKRANKHEITEN + NERVENSTÖRUNGEN + NEUROPATHOLOGIE (PATHOLOGIE); NERVOUS DISEASES + NERVOUS DISORDERS + NEUROPATHOLOGY (PATHOLOGY); MATHEMATICAL MODELING AND SIMULATION IN NEUROLOGY; ZEITREIHENANALYSE (MATHEMATISCHE STATISTIK); BAYESSCHE THEORIE (WAHRSCHEINLICHKEITSRECHNUNG)
Organisational unit
03659 - Buhmann, Joachim M. / Buhmann, Joachim M.  
02150 - Dep. Informatik / Dep. of Computer Science
02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering
03955 - Stephan, Klaas E. / Stephan, Klaas E.  
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