Kyungduk Ko, Ph.D. - Publications
Affiliations: | 2004 | Texas A & M University, College Station, TX, United States |
Area:
StatisticsYear | Citation | Score | |||
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2013 | Jeong J, Vannucci M, Ko K. A wavelet-based Bayesian approach to regression models with long memory errors and its application to FMRI data. Biometrics. 69: 184-96. PMID 23379536 DOI: 10.1111/J.1541-0420.2012.01819.X | 0.563 | |||
2009 | Ko K, Qu L, Vannucci M. WAVELET-BASED BAYESIAN ESTIMATION OF PARTIALLY LINEAR REGRESSION MODELSWITH LONG MEMORY ERRORS. Statistica Sinica. 19: 1463-1478. PMID 23946613 | 0.549 | |||
2008 | Ko K, Lee J, Lund R. Confidence intervals for long memory regressions Statistics & Probability Letters. 78: 1894-1902. DOI: 10.1016/J.Spl.2008.01.057 | 0.42 | |||
2007 | Lee J, Ko K. One-way analysis of variance with long memory errors and its application to stock return data Applied Stochastic Models in Business and Industry. 23: 493-502. DOI: 10.1002/Asmb.V23:6 | 0.379 | |||
2006 | Ko K, Vannucci M. Bayesian wavelet-based methods for the detection of multiple changes of the long memory parameter Ieee Transactions On Signal Processing. 54: 4461-4470. DOI: 10.1109/Tsp.2006.881202 | 0.571 | |||
2006 | Ko K, Vannucci M. Bayesian wavelet analysis of autoregressive fractionally integrated moving-average processes Journal of Statistical Planning and Inference. 136: 3415-3434. DOI: 10.1016/J.Jspi.2005.01.010 | 0.563 | |||
2006 | Kwon DW, Ko K, Vannucci M, Reddy ALN, Kim S. Wavelet methods for the detection of anomalies and their application to network traffic analysis Quality and Reliability Engineering International. 22: 953-969. DOI: 10.1002/Qre.781 | 0.483 | |||
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