Abstract | ||
---|---|---|
The application of computational statistics provides simple algorithms for assessing model uncertainty in subspace identification. |
Year | DOI | Venue |
---|---|---|
2000 | 10.1016/S0005-1098(00)00081-9 | Automatica |
Keywords | Field | DocType |
Identification algorithms,Subspace methods,Statistical analysis,Uncertainty | Mathematical optimization,Subspace topology,Pattern recognition,Random subspace method,Algorithm,Computational statistics,Artificial intelligence,SIMPLE algorithm,Bootstrapping (electronics),Mathematics,Statistical analysis | Journal |
Volume | Issue | ISSN |
36 | 11 | 0005-1098 |
Citations | PageRank | References |
11 | 1.33 | 9 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sergio Bittanti | 1 | 219 | 74.16 |
Marco Lovera | 2 | 283 | 44.29 |