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Takeshi Emura    Associate Professor
Office:
Tel : (03)422-7151#65452
Fax:
E-mail: takeshiemura@gmail.com
web: http://www.stat.ncu.edu.tw/teacher/emura/index.html

Education
  1. Ph.D. in Institute of Statistics, National Chiao Tung Univiersity, Taiwan, 2007.
2. Ph.D. student in Mathematics and Physics, Graduate School of Science and Technology, Chiba University ,Japan, 2002-2004.
3. M.S. in Information and Mathematical science, Graduate School of Science and Technology, Chiba University, Japan, 2002.
4. B.A. in Mathematics, Department of Science, To-Kai University, Japan, 1999.
 

Research Interests
  1. Copula model
2. Truncated/Censored data analysis
3. Survival analysis
4. Statistical decision thoery
5. Reliability and Quality control
 

Publications
  [19] Emura T*, Nakatochi M, Matsui S, Michimae H, Rondeau V (2017)
Personalized dynamic prediction of death according to tumour
progression and high-dimensional genetic factors: meta-analysis with a
joint model, Stat Methods Med Res, doi:10.1177/0962280216688032

[18] Emura T*, Michimae H (2017) A copula-based inference to piecewise
exponential models under dependent censoring, with application to time
to metamorphosis of salamander larvae, Environ Ecol Stat,
doi:10.1007/s10651-017-0364-4

[17] Emura T, Chen YH* (2016), Gene selection for survival data under
dependent censoring, a copula-based approach, Stat Methods Med Res
25(No.6): 2840–57

[16] Emura T*, Wang W (2016), Semiparametric inference for an
accelerated failure time model with dependent truncation, Ann Inst
Stat Math 68 (No.5): 1073–1094

[15] Emura T*, Shiu-SK (2016), Estimation and model selection for
left-truncated and right-censored lifetime data with application to
electric power transformers analysis, Commun Stat B-Simul 45 (No.9):
3171–89

[14] Emura T*, Ho YT (2016), A decision theoretic approach to change
point estimation for binomial CUSUM control charts, Sequential Anal 35
(No.2): 238-253

[13] Emura T*, Nakatochi M, Murotani K, Rondeau V (2015), A joint
frailty-copula model between tumour progression and death for
meta-analysis, Stat Methods Med Res, doi: 10.1177/0962280215604510

[12] Emura T*, Murotani K (2015), An algorithm for estimating survival
under a copula-based dependent truncation model, TEST 24 (No.4):
734-51

[11] Emura T*, Konno Y, Michimae H (2015), Statistical inference based
on the nonparametric maximum likelihood estimator under
double-truncation, Lifetime Data Anal 21 (No. 3): 397-418

[10] Emura T*, Lin YS (2015), A comparison of normal approximation
rules for attribute control charts, Qual Reliab Eng Int 31 (No.3):
411–18

[9] Emura T*, Kao FS, Michimae H (2014), An improved nonparametric
estimator of sub-distribution function for bivariate competing risk
models, J Multivar Anal 132: 229-41

[8] Emura T , Chen YH*, Chen HY (2012), Survival prediction based on
compound covariate method under Cox proportional hazard models PLoS
ONE 7 (10). doi:10.1371/journal.pone.0047627

[7] Emura T, Wang W* (2012), Nonparametric maximum likelihood
estimation for dependent truncation data based on copulas, J Multivar
Anal 110, 171-88

[6] Emura T, Konno Y* (2012), A goodness-of-fit tests for parametric
models based on dependently truncated data, Compt Stat Data Anal 56:
2237-50.

[5] Emura T, Konno Y* (2012), Multivariate normal distribution
approaches for dependently truncated data, Stat Pap 53 (No.1): 133-49

[4] Emura T, Wang W* & Hung HN (2011), Semi-parametric inference for
copula models for dependently truncated data, Stat Sinica 21: 349-67

[3] Emura T, Lin CW, Wang W* (2010), A goodness-of-fit test for
Archimedean copula models in the presence of right censoring, Compt
Stat Data Anal 54: 3033-43

[2] Emura T, Wang H* (2010), Approximate tolerance limits under the
log-location-scale models in the presence of censoring, Technometrics
52(No.3): 313-23

[1] Emura T, Wang W* (2010), Testing quasi-independence for truncation
data, J Multivar Anal 101: 223-39
 

Teaching
  2014 Fall Survival analysis I
2014 Fall Quality control
2014 Spring Survival analysis II
2014 Spring High-dimensional data analysis
2016 Fall High-dimensional Data Analysis
2016 Fall Statistical Inference III
2017 Spring Quality Control
2017 Spring Survival Analysis I
 


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