Adaptive design of experiments for sobol indices estimation based on quadratic metamodel

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

Volumn 9047, Issue , 2015, Pages 86-95

  Burnaev, Evgeny ^a,b,c   Panin, Ivan ^a,b,c  

^a MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

^b Datadvance llc   (Russian Federation)

^c INSTITUTE FOR INFORMATION TRANSMISSION PROBLEMS   (Russian Federation)

Author keywords

Active learning; Adaptive design of experiments; D optimality; Global sensitivity analysis; Sobol indices

Indexed keywords

ARTIFICIAL INTELLIGENCE; DESIGN; ESTIMATION; MONTE CARLO METHODS; SENSITIVITY ANALYSIS;

ACTIVE LEARNING; D-OPTIMALITY; GLOBAL SENSITIVITY ANALYSIS; MATHEMATICAL APPARATUS; SENSITIVITY METRICS; SOBOL INDICES; SOBOL SENSITIVITY INDICES; STATISTICAL PROPERTIES;

DESIGN OF EXPERIMENTS;

EID: 84949791220     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-17091-6_4     Document Type: Conference Paper

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