Sangil Kim, Ph.D. - Publications
Affiliations: | 2005 | University of Arizona, Tucson, AZ |
Area:
Mathematics, GeophysicsYear | Citation | Score | |||
---|---|---|---|---|---|
2017 | Kim S, Jung IH. State estimation comparison for a high-dimensional nonlinear system by particle-based filtering methods Probabilistic Engineering Mechanics. 50: 9-16. DOI: 10.1016/J.Probengmech.2017.10.004 | 0.371 | |||
2015 | Kim S, Lee Y, Park J. Maximum likelihood parameter estimation for a high-dimensional system by particle-based filters Probabilistic Engineering Mechanics. 39: 1-9. DOI: 10.1016/J.Probengmech.2014.10.002 | 0.334 | |||
2015 | Seo GH, Choi BJ, Cho YK, Kim YH, Kim S. Evaluation of a regional ocean reanalysis system for the East Asian Marginal Seas based on the ensemble Kalman filter Ocean Science Journal. 50: 29-48. DOI: 10.1007/S12601-015-0003-7 | 0.313 | |||
2011 | Kim S, Park J. Sequential Monte Carlo filters for abruptly changing state estimation Probabilistic Engineering Mechanics. 26: 194-201. DOI: 10.1016/J.Probengmech.2010.07.010 | 0.353 | |||
2010 | Seo G, Choi B, Cho Y, Kim YH, Kim S. Assimilation of sea surface temperature in the Northwest Pacific Ocean and its marginal seas using the ensemble Kalman filter Ocean Science Journal. 45: 225-242. DOI: 10.1007/S12601-010-0021-4 | 0.306 | |||
2006 | Eyink GL, Kim S. A maximum entropy method for particle filtering Journal of Statistical Physics. 123: 1071-1128. DOI: 10.1007/S10955-006-9124-9 | 0.554 | |||
2003 | Kim S, Eyink GL, Restrepo JM, Alexander FJ, Johnson G. Ensemble filtering for nonlinear dynamics Monthly Weather Review. 131: 2586-2594. DOI: 10.1175/1520-0493(2003)131<2586:Effnd>2.0.Co;2 | 0.552 | |||
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