Bayesian probabilistic PCA approach for model validation of dynamic systems

SAE International Journal of Materials and Manufacturing

Volumn 2, Issue 1, 2009, Pages 555-563

  Jiang, Xiaomo ^a   Yang, Ren Jye ^b   Barbat, Saeed ^b   Weerappuli, Para ^b  

^a GENERAL ELECTRIC COMPANY   (United States)

^b FORD MOTOR COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE INDUSTRY; BAYESIAN; BAYESIAN HYPOTHESIS; BAYESIAN STATISTICS; CHILD RESTRAINT SYSTEMS; COMPLEX DYNAMIC SYSTEMS; COMPUTER MODELING; COMPUTER MODELS; DATA UNCERTAINTY; DIMENSIONALITY REDUCTION; DUMMY MODELS; DYNAMIC SYSTEMS; MODEL RELIABILITY; MODEL VALIDATION; MULTIPLE RESPONSE; MULTIVARIATE CORRELATION; POTENTIAL REDUCTION; PREDICTIVE CAPABILITIES; PROBABILISTIC PCA; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE VALIDATION; TEST DATA; VALIDATION TECHNOLOGIES;

AUTOMOBILE PARTS AND EQUIPMENT; BAYESIAN NETWORKS; COMPUTATIONAL METHODS; COMPUTER TESTING; DYNAMIC MODELS; DYNAMICAL SYSTEMS; REGRESSION ANALYSIS; STATISTICAL TESTS; UNCERTAINTY ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77953195325     PISSN: 19463979     EISSN: 19463987     Source Type: Journal    
DOI: 10.4271/2009-01-1404     Document Type: Article

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