Search Results - "Seong, Byeongchan"

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  1. 1

    On-Line Prediction of Nonstationary Variable-Bit-Rate Video Traffic by KANG, Sungjoo, LEE, Seongjin, WON, Youjip, SEONG, Byeongchan

    Published in IEEE transactions on signal processing (01-03-2010)
    “…In this paper, we propose a model-based bandwidth prediction scheme for variable-bit-rate (VBR) video traffic with regular group of pictures (GOP) pattern…”
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    Journal Article
  2. 2

    Smoothing and forecasting mixed-frequency time series with vector exponential smoothing models by Seong, Byeongchan

    Published in Economic modelling (01-09-2020)
    “…The analysis of mixed-frequency (MF) time series has been limited mainly to the vector autoregressive integrated moving average (ARIMA) framework, even though…”
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    Journal Article
  3. 3

    Intervention analysis based on exponential smoothing methods: Applications to 9/11 and COVID-19 effects by Seong, Byeongchan, Lee, Kiseop

    Published in Economic modelling (01-05-2021)
    “…This study extends intervention analysis beyond the ARIMA models, which are currently used by most scholars and practitioners, to exponential smoothing models…”
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    Journal Article
  4. 4

    Semiparametric selection of seasonal cointegrating ranks using information criteria by Seong, Byeongchan

    Published in Economics letters (01-09-2013)
    “…We consider the use of information criteria (IC) on the basis of a semiparametric seasonal error correction model for selecting seasonal cointegrating ranks…”
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    Journal Article
  5. 5

    Bootstrap test for seasonal cointegrating ranks by Seong, Byeongchan

    Published in Applied economics letters (01-02-2013)
    “…We consider a bootstrap algorithm for the Likelihood Ratio (LR) test of seasonal Cointegrating (CI) ranks as the extension of Swensen ( 2006) . Through a small…”
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    Journal Article
  6. 6

    Explainable artificial intelligence for the interpretation of ensemble learning performance in algal bloom estimation by Park, Jungsu, Seong, Byeongchan, Park, Yeonjeong, Lee, Woo Hyoung, Heo, Tae‐Young

    Published in Water environment research (01-10-2024)
    “…Chlorophyll‐a (Chl‐a) concentrations, a key indicator of algal blooms, were estimated using the XGBoost machine learning model with 23 variables, including…”
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    Journal Article
  7. 7

    Drought, ethanol, and livestock by Hao, Na, Colson, Gregory, Seong, Byeongchan, Park, Cheolwoo, Wetzstein, Michael

    Published in Energy economics (01-05-2015)
    “…The 2012 drought in the U.S. Midwest resulted in volatile crop prices. With field crops constituting a major input in livestock production, livestock producers…”
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  8. 8

    Bonferroni correction for seasonal cointegrating ranks by Seong, Byeongchan

    Published in Economics letters (01-04-2009)
    “…I consider Bonferroni correction in identifying seasonal cointegrating ranks. Without the correction, the Type I error for the set of all seasonal…”
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  9. 9

    Higher maternal vitamin D concentrations are associated with longer leukocyte telomeres in newborns by Kim, Jung‐Ha, Kim, Gwang Jun, Lee, Donghee, Ko, Jae‐Hong, Lim, Inja, Bang, Hyoweon, Koes, Bart W., Seong, Byeongchan, Lee, Duk‐Chul

    Published in Maternal and child nutrition (01-01-2018)
    “…Gestational vitamin D insufficiency is related with increased risks of various diseases and poor health outcomes later in life. Telomere length at birth or…”
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  10. 10

    Estimation of vector error correction models with mixed-frequency data by Seong, Byeongchan, Ahn, Sung K., Zadrozny, Peter A.

    Published in Journal of time series analysis (01-03-2013)
    “…Vector autoregressive (VAR) models with error‐correction structures (VECMs) that account for cointegrated variables have been studied extensively and used for…”
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  11. 11

    Maximum Eigenvalue Test for Seasonal Cointegrating Ranks by Seong, Byeongchan, Cho, Sinsup, Ahn, Sung K.

    “…The maximum eigenvalue (ME) test for seasonal cointegrating ranks is presented using the approach of Cubadda [Oxford Bulletin of Economics and Statistics…”
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  12. 12

    A note on spurious regression in seasonal time series by Seong, Byeongchan, Ahn, Sung K., Jeon, Yongil

    “…This paper considers spurious regression between two different types of seasonal time series: one with a deterministic seasonal component and the other with a…”
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  13. 13

    Additional sources of bias in half-life estimation by Seong, Byeongchan, Mahbub Morshed, A.K.M., Ahn, Sung K.

    Published in Computational statistics & data analysis (01-12-2006)
    “…Recently, an increasing amount of attention is being paid to biases in the measurement of time series dynamics based on calculations of half-life. In…”
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  14. 14

    Inference of seasonal cointegration with linear restrictions by Seong, Byeongchan, Cho, Sinsup, Ahn, Sung K.

    “…In this article, we study the statistical inference of seasonal cointegration with joint linear restrictions among cointegrating vectors associated with…”
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