Kyungduk Ko, Ph.D.
Affiliations: | 2004 | Texas A & M University, College Station, TX, United States |
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"Kyungduk Ko"Parents
Sign in to add mentor| Marina Vannucci | grad student | 2004 | Texas A & M | |
| (Bayesian wavelet approaches for parameter estimation and change point detection in long memory processes.) | ||||
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Publications
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| Jeong J, Vannucci M, Ko K. (2013) A wavelet-based Bayesian approach to regression models with long memory errors and its application to FMRI data. Biometrics. 69: 184-96 |
| Ko K, Qu L, Vannucci M. (2009) WAVELET-BASED BAYESIAN ESTIMATION OF PARTIALLY LINEAR REGRESSION MODELSWITH LONG MEMORY ERRORS. Statistica Sinica. 19: 1463-1478 |
| Ko K, Lee J, Lund R. (2008) Confidence intervals for long memory regressions Statistics & Probability Letters. 78: 1894-1902 |
| Lee J, Ko K. (2007) 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 |
| Ko K, Vannucci M. (2006) Bayesian wavelet-based methods for the detection of multiple changes of the long memory parameter Ieee Transactions On Signal Processing. 54: 4461-4470 |
| Ko K, Vannucci M. (2006) Bayesian wavelet analysis of autoregressive fractionally integrated moving-average processes Journal of Statistical Planning and Inference. 136: 3415-3434 |
| Kwon DW, Ko K, Vannucci M, et al. (2006) Wavelet methods for the detection of anomalies and their application to network traffic analysis Quality and Reliability Engineering International. 22: 953-969 |