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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
  Selected papers (*=corresponding author) [22] Emura T*, Matsui S, Chen HY (2019) compound.Cox: univariate feature selection and compound covariate for predicting survival, Comput Methods Programs Biomed 168: 21-37

[21] Emura T*, Nakatochi M, Matsui S, Michimae H, Rondeau V (2018) Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: meta-analysis with a joint model, Stat Methods Med Res 27(9):2842-58

[20] Emura T*, Nakatochi M, Murotani K, Rondeau V (2017) A joint frailty-copula model between tumour progression and death for meta-analysis, Stat Methods Med Res 26(6): 2649-66

[19] Emura T*, Hu YH, Konno Y (2017) Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation, Stat Pap 58 (3): 877-909

[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 24(1) 151–73

[17] Emura T* and Pan CH (2017) Parametric maximum likelihood inference and goodness-of-fit tests for dependently left-truncated data, a copula-based approach, Stat Pap, doi:10.1007/s00362-017-0947-z

[16] Emura T, Chen YH* (2016) Gene selection for survival data under dependent censoring, a copula-based approach, Stat Methods Med Res
25(6): 2840–57

[15] Emura T*, Wang W (2016) Semiparametric inference for an accelerated failure time model with dependent truncation, Ann Inst Stat Math 68 (5): 1073–94

[14] Emura T*, Ho YT (2016) A decision theoretic approach to change point estimation for binomial CUSUM control charts, Sequential Anal 35
(2): 238-53

[13] Hu YH, Emura T* (2015) Maximum likelihood estimation for a special exponential family under random double-truncation, Computation Stat 30 (4): 1199-229

[12] Emura T*, Murotani K (2015) An algorithm for estimating survival under a copula-based dependent truncation model, TEST 24 (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 (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 ttruncated 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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