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

  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

  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):

[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:

[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

  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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