Radial basis function approximations of bayesian parameter posterior densities for uncertainty analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8859, Issue , 2014, Pages 73-85

  Fröhlich, Fabian ^a,b   Hross, Sabrina ^a,b   Theis, Fabian J ^a,b   Hasenauer, Jan ^a,b  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; COMPLEX NETWORKS; COMPUTATIONAL METHODS; CYTOLOGY; FUNCTIONS; HEAT CONDUCTION; IMAGE SEGMENTATION; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; TRANSCRIPTION;

APPLICATION EXAMPLES; APPROXIMATION ERRORS; CLASSICAL APPROXIMATION; INTERACTING PARTICLES; MARKOV CHAIN MONTE-CARLO; PARTIAL DIFFERENTIAL EQUATION MODELS; PROBABILITY DENSITIES; RADIAL BASIS FUNCTIONS;

UNCERTAINTY ANALYSIS;

EID: 84910146580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-12982-2_6     Document Type: Conference Paper

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