Professor, Department of Statistics, National Chengchi University
Research areas: Bayesian analysis, Statistical machine learning, time series, sequential analysis
Office: Room 261204, College of Commerce Building
Phone: 886-2-29393091 ext. 81204
Email: chweng at nccu.edu.tw
<Experience>
Professor, Statistics Department, National Chengchi University (2011.2 – present )
Associate Professor, Statistics Department, National Chengchi University (2003.8 – 2011.1 )
Assistant Professor, Statistics Department, National Chengchi University (1999.8 – 2003.7 )
<Education>
Ph.D., Statistics, University of Michigan (1999)
M.S., Mathematics, National Taiwan University (1995)
B.S., Mathematics, National Taiwan University (1993)
<Courses>
Statistics, Applied Bayesian methods, Probability theory.
(please login to moodle system for course information)
<Publications>
1. Michael Woodroofe and Ruby C. Weng. "Comments on hybrid sampling methods for confidence intervals." Statistica Sinica, 10(1), 33-36, 2000.
2. Ruby C. Weng and Michael Woodroofe. , “Integrable expansions for posterior distributions for multiparameter exponential families -- with applications to sequential confidence levels.” Statistica Sinica, 10(3), 693-713, 2000.
3. Ki Heon Choi, Ruby C Weng, and Michael Woodroofe, “Sequential confidence intervals for a population size with fixed proportional accuracy.” Sequential Analysis, 20(1), 25-43, 2001. (link)
4. Ruby C. Weng, “On Stein’s Identity for Posterior Normality.” Statistica Sinica, 13(2), 495-506, 2003. (link)
5. M.-W. Chang, C.-J. Lin, and Ruby C. Weng. “Analysis of Switching Dynamics with Competing Support Vector Machines.” IEEE Transactions on Neural Networks, 15(3), 720-727, 2004.
6. T.-F. Wu, C.-J. Lin, and Ruby C. Weng.“Probability Estimates for Multi-class Classification by Pairwise Coupling.” Journal of Machine Learning Research, 5, 975-1005, 2004. (A short version appears in NIPS 2003.)
7. Ruby C. Weng and Michael Woodroofe, “Approximate confidence sets for a stationary AR(p) process.” Journal of Statistical Planning and Inference, 136, 2719-2745, 2006.
8. T.-K. Huang, Ruby C. Weng, and C.-J. Lin.“A Generalized Bradley-Terry Model: From Group Competition to Individual Skill.”Journal of Machine Learning Research, 7, 85-115, 2006. A short version of this paper appears in NIPS 2004.
9. Ruby C. Weng and D. S. Coad, “Corrected confidence intervals for secondary parameters following sequential tests.” IMS Lecture Notes and Monograph Series on Recent Developments in Nonpaametric Inference and Probability, 50, 80-104, 2006.
10. Ruby C. Weng and W.-C. Tsai, “Asymptotic Posterior Normality for Multiparameter Problems.” Journal f Statistical Planning and Inference, 138, 4068-4080, 2008.
11. C.-J. Lin, Ruby C. Weng, and S. S. Keerthi. “Trust region Newton method for large-scale logistic regression.” Journal of Machine Learning Research, 9, 627-650, 2008. (A short version appears in ICML 2007.)
12. T.-K. Huang, Ruby C. Weng, and C.-J. Lin. “Ranking individuals by group comparisons.”Journal of Machine Learning Research, 9, 2187-2216, 2008. (A short version appears in ICML 2006.)
13. S.-C. Chen, Ruby C. Weng, and T. Huang. “Corrected confidence intervals for parameters in adaptive linear models.” Journal of Statistical Planning and Inference, 140(1), 297-309, 2010.
14. Ruby C. Weng. “A Bayesian Edgeworth expansion by Stein's Identity.” Bayesian Analysis, 5(4), 741-764, 2010.
15. Ruby C. Weng and C.-J. Lin. “A Bayesian approximation method for online ranking.”Journal of Machine Learning Research, 12, 267-300, 2011.
16. Ruby C. Weng and C.-H. Hsu. “A study of expansion of posterior distributions." Communications in Statistics - Theory and Methods, 46, 346-364, 2013.
17. Ruby C. Weng and D. S. Coad. “Real-time Bayesian parameter estimation for item response models." R codes. Bayesian Analysis, 13, 115-137, 2018.
18. C.-L. Su, S.-H. Chang, and Ruby C. Weng. “A note on item response theory modeling for online customer ratings." The American Statistician, 74(1), 53-63, 2020.
19. Ruby C. Weng and D. S. Coad. “Bias approximation for likelihood-based estimators." Scandinavian Journal of Statistics, 48(4), 1474-1497, 2021.
20. W.-R. Jiang, L.-S. Chen, Ruby C. Weng. “The generalized Gamma distribution with applications to the modeling of customers' purchase times.” Journal of the Chinese Statistical Association, 59(4), 255-279, 2021.
21. H.-F. Hua, C.-J. Chang, T.-C. Lin and Ruby C. Weng. “Rating of players by Laplace approximation and dynamic modeling.” accepted by International Journal of Forecasting. 2023.
code: vRating.zip