.
Rohana Karunamuni
Professor
Ph.D. (Michigan State)
Office: CAB 443
Phone: (780) 492-5812
Fax: (780) 492-6826
Email: karunamuni@ualberta.ca
Research Interests
My current research interests include efficient robust inference for parametric and
semiparametric models, variable selection and high-dimensional data problems.
Selected Publications
1. Q. Tang, P. Li and R.J. Karunamuni (2015). Fast and accurate computation of kernel
estimators. Computational Statistics and Data Analysis. In press.
2. R.J. Karunamuni, Q. Tang and B. Zhao (2015). Robust and efficient estimation of
effective does. Computational Statistics and Data Analysis. In press.
3. J. Wu and R.J. Karunamuni (2014). Profile Hellinger distance estimation. Statistics. In
press.
4. Q. Tang and R.J. Karunamuni (2013). Minimum Hellinger distance estimation in a finite
mixture regression model. Journal of Multivariate Analysis, 120, 185-204.
5. S. Zhao, P. Li and R. Karunamuni (2012). Blocked two-level regular factorial designs
with weak minimum aberration. Biometrika, 100, 249-253.
6. S. Zhao, P. Li, R. Zhang and R. Karunamuni (2012). Construction of blocked two-level
regular designs with general minimum lower order confounding. Journal of Statistical
Planning and Inference, 143, 1082-1090.
7. J. Wu and R.J. Karunamuni (2012). Efficient Hellinger distance estimates for
semiparametric models. Journal of Multivariate Analysis, 107, 1-23.
8. R.J. Karunamuni and J. Wu (2011). One-step minimum Hellinger distance estimation.
Computational Statistics and Data Analysis, 55, 3148-3164.
9. J. Kolacek and R.J. Karunamuni (2011). A generalized reflection method for kernel
distribution and hazard function estimation. Journal of Applied Probability and Statistics,
6, 73-85.
10. J. Wu, R.J. Karunamuni and B. Zhang (2010). On minimum Hellinger distance
estimation. Journal of Multivariate Analysis, 101, 1102-1122.
11. R.J. Karunamuni, J. Li and J. Wu (2010). Robust empirical Bayes tests for continuous
distributions. Journal of Statistical Planning and Inference, 140, 268-282.
12. S. Zhang and R.J. Karunamuni (2010). Boundary Performance of the beta-kernel
estimator. Journal of Nonparametric Statistics, 22, 81-104.
13. J. Wu and R.J. Karunamuni (2009). On minimum Hellinger distance estimation. The
Canadian Journal of Statistics, 37, 514-533.
14. R.J. Karunamuni and J. Wu (2009). Minimum Hellinger distance estimation in a
nonparametric mixture model. Journal of Statistical Planning and Inference, 139, 11181133.
15. S. Zhang and R.J. Karunamuni (2009). Deconvolution boundary kernel method in
nonparametric density estimation. Journal of Statistical Planning and Inference, 139,
2269-2283.
For rest of the articles,
see:https://www.dropbox.com/s/txa59j43k42umr0/Research%20Papers%20of%20R.J.%2
0Karunamuni.pdf
Department of Mathematical and
Phone:
Statistical Sciences
University of Alberta
632 Central Academic Building
Edmonton, AB T6G 2G1
780.492.3396
Fax:
780.492.6826
Last modified
06.17.15