Takeshi Emura, Weiru Chen, Ting-Hsuan Long, Xinwei Huang

Takeshi Emura,  Xinwei Huang, Weiru Chen, Ting-Hsuan Long
Estimation and statistical process control are performed under
copula-based time-series models.
Available are statistical methods in Long and Emura (2014 JCSA),
Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>,
Huang and Emura(2019, in revision) and Huang, Chen and Emura (2019-, in revision).

Estimation and statistical process control are performed under
copula-based time-series models.
Available are statistical methods in Long and Emura (2014 JCSA),
Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>,
Huang and Emura (2019 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647> and Huang, Chen and Emura (2019-, in revision).

Takeshi Emura, Xinwei Huang, Weiru Chen, Ting-Hsuan Long

Takeshi Emura, Xinwei Huang, Weiru Chen, Ting-Hsuan Long, Li-Hsien Sun
Estimation and statistical process control are performed under
copula-based time-series models.
Available are statistical methods in Long and Emura (2014 JCSA),
Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>,
Huang and Emura (2019 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647>,
Lin et al. (2019 Comm Stat-Simul) <DOI:10.1080/03610918.2019.1652318>,
Sun et al. (2020 to appear in JSS Series in Statistics, Springer), and Huang, Chen and Emura (2019-, in revision).

Takeshi Emura, Xinwei Huang, Ting-Hsuan Long, Li-Hsien Sun
Estimation and statistical process control are performed under
copula-based time-series models.
Available are statistical methods in Long and Emura (2014 JCSA),
Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>,
Huang and Emura (2021 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647>,
Lin et al. (2021 Comm Stat-Simul) <DOI:10.1080/03610918.2019.1652318>,
Sun et al. (2020 JSS Series in Statistics)<DOI:10.1007/978-981-15-4998-4>,
and Huang and Emura (2021, in revision).

Copula Markov Model with Dependent Censoring
Perform likelihood estimation and corresponding analysis under the copula-based Markov chain model for serially dependent event times with a dependent terminal event. A two stage estimation method is applied for estimating model parameters. Two copula functions are used for measuring dependence. One is used for modeling serial dependence in recurrent event times. The other one is for modeling dependent censoring. The baseline hazard functions are modeled by the Weibull distributions. See Huang (2019) <https://etd.lib.nctu.edu.tw/cgi-bin/gs32/ncugsweb.cgi?o=dncucdr&s=id=%22GC106225601%22.&searchmode=basic> for detail.