**姓名 Name**：黃文瀚 Wen-Han Hwang

**職稱 Title ** ：教授 Professor

**研究專長 Research interests**：Ecological Statistics, Missing Data, Measurement Error Analysis

**研究室 Office**：綜合三館 827 室 General Building III Room 827

**分機 Phone Extension**：33169

**信箱 Email**：wenhan@stat.nthu.edu.tw

**學歷 Education**

• Ph. D. in Statistics, National Tsing Hua University, Taiwan, June 1997

• M.S. in Applied Mathematics, National Tsing Hua University, Taiwan, June 1992

• B.S. in Applied Mathematics, Fu Jen Catholic University, Taiwan, June 1990

**經歷 Experience
• **2023- : Professor, Institute of Statistics, National Tsing Hua University.

• 2012- 2022: Professor, Institute of Statistics & Department of Applied Mathematics, National Chung Hsing University.

• 2021-2023: Panel Coordinator of Statistics Discipline of the National Science and Technology Council (NSTC; MOST).

• 2019-2021: President of The Chinese Institute of Probability and Statistics

• 2017- 2019: Chair of the Department of Applied Mathematics & Director of the Institute of Statistics, National Chung Hsing University.

• 2015/9-2015/10: Visiting Professor, University of Melbourne.

• 2006-2011: Associate Professor, Institute of Statistics & Department of Applied Mathematics, National Chung Hsing University.

• 2003-2006: Associate Professor, Department of Statistics, Feng Chia University.

• 2005/7-2005/8: Visiting Associate Professor, Department of Mathematics and Statistics, University of Melbourne.

• 2005/2-2005/6: Visiting Associate Professor, Cetre of Mathematics and its Application, The Australian National University.

• 1999-2003: Assistant Professor, Department of Statistics, Feng Chia University.

• 1997-1999: Military Service.

**著作與研究成果 ****publications**

1. Priyadarshani, D., Huynh, H-D., Altwegg, R., and** Hwang, W-H.* **(2024). A unified framework for time-to-detection occupancy and abundance models. Methods in Ecology and Evolution, DOI: 10.1111/2041-210X.14296

2. Wang, C. Y.,** Hwang, W-H.**, and Song, X. (2024). Biomarker data with measurement error in medical research: A literature review. Wiley Interdisciplinary Reviews: Computational Statistics, 16(1), e1641.

3. **Hwang, W-H**., Chen, L.F., and Stoklosa, J. (2023). Counting the unseen: Estimation of susceptibility proportions in zero-inflated models using a conditional likelihood approach. The American Statistician, DOI: 10.1080/00031305.2023.2249529

4. Stoklosa, J., **Hwang, W. H.**, and Warton, D. I. (2023). A general algorithm for error-in-variables regression modelling using Monte Carlo expectation maximization. Plos one, 18(4), e0283798.

5. Wu, H. D. I., Lin, R. S., **Hwang, W. H**., Huang, M. L., Chen, B. J., Yen, T. C., and Chao, D. Y. (2023). Integrating Citizen Scientist Data into the Surveillance System for Avian Influenza Virus, Taiwan. Emerging Infectious Diseases, 29(1), 45-53.

6. Priyadarshani, D., Altwegg, R., Lee, A. T., and**Hwang, W-H**.* (2022). What can occupancy models gain from time‐to‐detection data? Ecology, 103(12), e3832.

7.**Hwang, W-H**., Stoklosa, J. and Wang, C-Y. (2022), Population size estimation using zero-truncated Poisson regression with measurement error. Journal of Agricultural, Biological, and Environmental Statistics, 27,303-320.

8.**Hwang, W-H**., Huggins, R., and Stoklosa, J. (2022). A model for analysing clustered occurrence data. Biometrics, 78, 598-611.

9.**Hwang, W-H**., Blakey, R.and Stoklosa, J. (2020), Right-censored mixed Poisson count models with detection times. Journal of Agricultural, Biological, and Environmental Statistics, 25, 112-132.

10.**Hwang, W-H**., Dean Heinze & Stoklosa, J. (2019). A weighted partial likelihood approach for zero-truncated models, Biometrical Journal, 61,1073-1087.

11. Stoklosa, J., Lee, S.M, &**Hwang, W-H**.*(2019). Closed-population capture--recapture models with measurement error and missing observations in covariates. Statistica Sinica, 29, 589-610.

12. Huggins, R.,**Hwang, W-H**.*, & Stoklosa, J. (2018). Estimation of abundance from presence–absence maps using cluster models. Environmental and Ecological Statistics, 25, 495-522.

13. Huang, G., Chen, L. J.,**Hwang, W. H**., Tzeng, S., & Huang, H. C. (2018). Real‐time PM2. 5 mapping and anomaly detection from AirBoxes in Taiwan. Environmetrics, 29(8), e2537.

14.**Hwang, W-H**.*, Huggins, R., and Chen, L-F. (2017). A note on the inverse birthday problem with applications. The American Statistician, 71, 191-201.

15.**Hwang, W-H**.*, Huggins, R., and Stoklosa, J. (2016). Estimating negative binomial parameters from occurrence data with detection times. Biometrical Journal, 58, 1409-1427.

16. Huang, Y.H,**Hwang, W-H**.* and Chen, F.Y. (2016). Improving efficiency using the Rao-Blackwell theorem in corrected and conditional score estimation methods for joint models. Biometrics, 72, 1136-1144.

17. Lee, S.M,**Hwang, W-H**.* and Tapsoba, J. D. (2016). Estimation in closed capture-recapture models when covariates are missing at random. Biometrics, 72, 1294-1304.

18. Stoklosa, J.*,**Hwang, W-H**., Yip, P., and Huggins, R. (2016). Accounting for contamination and outliers in covariates for open population capture–recapture models. Journal of Statistical Planning and Inference, 176, 52-63.

19.**Hwang, W-H**.* and Huggins, R. (2016). Estimating abundance from presence- absence maps via a paired negative binomial model. Scandinavian Journal of Statistics, 43, 563-586.

20. Stoklosa, J.*, Dan, P., Huggins, R. and**Hwang, W-H**.* (2016). Estimation of survival and capture probabilities in open population capture--recapture models when covariates are subject to measurement error. Computational Statistics and Data Analysis, 96, 74-86.

21. Stoklosa, J., Huang, Y.H., Furlan, E. and H**wang, W-H**.* (2016). On quadratic logistic regression models when predictor variables are subject to measurement error. Computational Statistics and Data Analysis, 95, 109-121.

22. Chung, C-J., Shen, T-J, and**Hwang, W-H**.* (2015). Estimating the number of shared species by a jackknife procedure. Environmental and Ecological Statistics, 22, 759-778.

23.**Hwang, W-H**., Lin, C-W., and Shen, T-J. (2015). Good–Turing frequency estimation in a finite population. Biometrical Journal, 57, 321-339.

24.**Hwang, W-H**., Huang, Y. H., & Chen, F. Y. (2015). Approximate estimations in capture–recapture model with heteroscedastic measurement errors. Journal of Statistical Computation and Simulation, 85, 762-776.

25. Chen, F. Y., Chen, L. F.,**Hwang, W-H**., & Huang, Y. H. (2014). Nonparametric methods for line transect surveys in the presence of measurement errors. Journal of Applied Science and Engineering, 17, 131-140.

26. Shen, T-J,**Hwang, W-H**.* and Chung, C-J. (2013). Practical method to species richness estimation in plant community, Journal of the Chinese Statistical Association, 51, 119–140.

27. Eren, M. I., Chao, A.,**Hwang, W.-H**. and Colwell, R. K. (2012). Estimating the richness of a population when the maximum number of classes is fixed: a

nonparametric solution to an archaeological problem. PLoS ONE 7(5): e34179. doi:10.1371/journal.pone.0034179

28. Gotelli, N. J., Chao, A., Colwell, R. K.,**Hwang, W-H** and Graves, G. R. (2012). Specimen-based modeling, stopping rules, and the extinction of the ivory-billed woodpecker. Conservation Biology, 26, 47-56.

29. Chung, C-J., Shen, T-J, and**Hwang, W-H**.* (2012). A likelihood approach to estimating the number of shared species in two communities, Journal of Taiwan Intelligent Technologies and Applied Statistics, 10, 47-69. (in Chinese).

30.**Hwang, W-H**.* and Huggins, R. (2011). A semiparametric model for a functional behavioural response to capture in capture-recapture experiments. Australian and New Zealand Journal of Statistics, 53, 403-421.

31.**Hwang, W-H**. and He, F. (2011). Estimating abundance from presence absence map. Methods in Ecology and Evolution, 2, 550-559.

32. Huggins, R. and**Hwang, W-H**. (2011). A review of the use of conditional likelihood in capture-recapture experiments. International Statistical Review, 79, 385-400.

33. Huang, Y.H,**Hwang, W-H**.* and Chen, F.Y. (2011). Differential measurement errors in zero-truncated regression models for count data. Biometrics, 67, 1471-80.

34. Stoklosa, J.,**Hwang, W.-H**., Wu, S-H. and Huggins, R. (2011). Heterogeneous capture-recapture models with covariates: A partial likelihood approach for closed populations. Biometrics, 67, 1659-65.

35. Müllera, C.H., Huggins, R. and**Hwang, W-H**. (2011). Consistent estimation of species abundance from a presence–absence map. Statistics & Probability Letters, 81,1449-1457.

36.**Hwang W-H**. and Shen, T.J. (2010). Small-sample estimation of species richness applied to forest communities. Biometrics, 66, 1052-1060.

37. Huggins R. and**Hwang, W-H**.* (2010). A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: An estimating equation approach. Journal of Agricultural, Biological, and Environmental Statistics, 15, 198-208.

38. Bui, Q.M., Huggins, R.,**Hwang, W-H**.,White, V., and Erbas, B*.(2010) A varying coefficient model to measure the effectiveness of mass media anti-

smoking campaigns in generating calls to a Quitline. Journal of Epidemiology, 20, 473-479.

39.**Hwang, W-H**. and Huggins, R. (2007). Application of semiparametric regression models in the analysis of capture-recapture experiments. Australian and New Zealand Journal of Statistics, 49, 191-212.

40. Huggins, R. and**Hwang, W-H**. (2007). Non-parametric estimation of population size from capture-recapture data when the capture probability depends on a covariate. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56, 429–443.

41.**Hwang, W-H**., Huang, S.Y.H., and Wang C.Y. (2007). Effects of measurement error and conditional score estimation in capture-recapture models. Statistica Sinica, 17, 301-316.

42.**Hwang, W-H**.* and Huang, S.Y.H. (2007). Measurement errors in continuous-time capture-recapture models. Journal of Statistical Planning and Inference, 137, 1888-1899.

43. Chao A., Shen, T-J., and**Hwang, W-H**. (2006). Application of Laplace's boundary-mode approximation to estimate species richness and shared species richness. Australian and New Zealand Journal of Statistics, 48, 117-128..

44.**Hwang W-H**. and Huggins R. (2005). An examination of the effect of heterogeneity on the estimation of population size using capture-recapture data. Biometrika, 92, 229-233.

45. Lee S-M.,**Hwang W-H**.*, and Huang L-H. (2003) . Bayes estimation of population size from capture-recapture models with time variation and behavior response. Statistica Sinica, 13, 477-494.

46.**Hwang W-H**.* and Huang S.Y.H. (2003). Estimation in Capture-recapture Models when Covariates are Subject to Measurement Errors. Biometrics, 59, 1115-1124.

47. Lin F. L. F. and**Hwang W-H**. (2003). Estimating the tailed-loss net premiums of mixed long-tailed distributions. (Taiwan) Insurance Monograph, 19, 1-19. (in Chinese).

48.**Hwang, W-H**. (2003). Application of Bayesian approach with latent variables to capture-recapture models. Journal of the Chinese Statistic Association, 41, 137-158. (in Chinese).

49.**Hwang W-H**., and Chao A. (2002). Continuous-time capture-recapture models

with covariates. Statistica Sinica, 12, 1115-1131.

50.**Hwang, W-H**., Chao, A., and Yip, P. (2002). Continuous-time capture -recapture models with time variation and behavioural response. Australian and New Zealand Journal of Statistics, 4, 41-54.

51. Yip P., Xi L., and Chao A., and**Hwang, W-H**. (2000) . Estimation the population size with a behavioural response in capture-recapture experiments. Environmental and Ecological Statistics, 7, 405-414.

52. Chao A.,**Hwang W-H**., Chen, Y-C., and Kuo, C-Y. (2000). Estimating the number of shared species in two communities. Statistica Sinica, 10, 227-246.

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**Research Grants**

1. (2022-2025) Modern statistical methods for the analysis of species site

occupancy data (National Science and Technology Council, NTD 5,476,000)

2. (2021/01-2023/12) Research development and planning in Statistics discipline (Ministry of Science and Technology, NTD 1,537,000/each year)

3. (2020-2022) A study on the site occupancy models (Ministry of Science and Technology, NTD 3,790,000)

4. (2018-2020) Right censored count models with detection times

(Ministry of Science and Technology, NTD 3,034,000)

5. (2016-2018) A weighted partial likelihood approach for zero-truncated models (Ministry of Science and Technology, NTD 1,632,000)

6. (2014-2016) Estimation and application of negative binomial parameters using occurrence data. (Ministry of Science and Technology, NTD 1,470,000)

7. (2012-2014) Extension and application of the inverse of birthday problem (National Science Council, NTD 1,800,000)

8. (2010-2012) Good-Turing Method and its Application. (National Science Council, NTD 1,860,000)

9. (2008-2010) Estimating species abundance from spatial occurrence data. (National Science Council, NTD 1,640,000)

10. (2007-2008) On the population size estimation by smoothing spline. (National Science Council, NTD 604,000)

11. (2006-2007) The application of semiparametric regression models in the analysis of capture-recapture experiments. (National Science Council, NTD 519,200)

12. (2005-2006) Measurement error in line-transect surveys (National Science Council, NTD 503,000)

13. (2004-2005) On the study of measurement error in ecology models. (National Science Council, NTD 535,200 )

14. (2003-2004) Model selection in closed population capture-recapture experiments. (National Science Council, NTD 401,800)

15. (2001-2003) Estimating Population size via latent variable and Bayesian analysis (National Science Council, NTD 504,900)

16. (2000) A unified approach to continuous-time capture-recapture models with covariates. (National Science Council, NTD 408,300)