• 51 引文
  • 4 h-指數
20052019

每年研究成果

如果您對這些純文本內容做了任何改變,很快就會看到。

研究成果

  • 51 引文
  • 4 h-指數
  • 11 Article
  • 2 Conference contribution
2019
開啟存取
2018

An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements

Lin, M. Y., Guo, Y. X., Chen, Y. C., Chen, W. T., Young, L. H., Lee, K. J., Wu, Z. Y. & Tsai, P. J., 2018 九月 15, 於 : Science of the Total Environment. 636, p. 1139-1148 10 p.

研究成果: Article

4 引文 斯高帕斯(Scopus)
2017

Milr: Multiple-instance logistic regression with lasso penalty

Chen, P. Y., Chen, C. C., Yang, C. H., Chang, S-M. & Lee, K-J., 2017 六月 1, 於 : R Journal. 9, 1, p. 446-457 12 p.

研究成果: Article

4 引文 斯高帕斯(Scopus)
1 引文 斯高帕斯(Scopus)

Spatial Bayesian hierarchical model with variable selection to fMRI data

Lee, K. J., Hsieh, S. & Wen, T., 2017 八月, 於 : Spatial Statistics. 21, p. 96-113 18 p.

研究成果: Article

1 引文 斯高帕斯(Scopus)
2016
7 引文 斯高帕斯(Scopus)
2015

Bayesian approaches to variable selection with highly correlated regressors: Predictive perspectives from cross-country growth regressions

Lee, K-J. & Chen, Y-C., 2015 十二月, 總體經濟計量模型研討會. 臺北,臺灣

研究成果: Conference contribution

BSGS: Bayesian sparse group selection

Lee, K-J. & Chen, R-B., 2015 一月 1, 於 : R Journal. 7, 2, p. 122-133 12 p.

研究成果: Article

1 引文 斯高帕斯(Scopus)
2014

Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data

Lee, K. J., Jones, G. L., Caffo, B. S. & Bassett, S. S., 2014 一月 1, 於 : Bayesian Analysis. 9, 3, p. 699-732 34 p.

研究成果: Article

19 引文 斯高帕斯(Scopus)
2005

Bayesian analysis of Box-Cox transformed linear mixed models with ARMA(p, q) dependence

Lee, J. C., Lin, T. I., Lee, K. J. & Hsu, Y. L., 2005 八月 1, 於 : Journal of Statistical Planning and Inference. 133, 2, p. 435-451 17 p.

研究成果: Article

14 引文 斯高帕斯(Scopus)