Department of Statistics
University of Manitoba 		 
   
   
 
Methodology Research
Collaborating Research
Publications
Research Grants
Selected Publications
  1. Li, H.; Wang, L. (2012). Consistent estimation in generalized linear mixed models with measurement error. Journal of Biometrics and Biostatistics, S7:007, doi:10.4172/2155-6180.S7-007
  2. Wu, G.; Zheng, X.; Wang, L.; Zhang, S.; Liang, X.; Li, Y. (2012). A new structure of error covariance matrices and their adaptive estimation in EnKF assimilation. Quarterly Journal of the Royal Meteorological Society, accepted.
  3. Wang, L.; Hsiao, C. (2011). Method of moments estimation and identifiability of nonlinear semiparametric errors-in-variables models. Journal of Econometrics, 165, 30-44, doi:10.1016/j.jeconom.2011.05.004
  4. Li, H.; Wang, L. (2011). A consistent simulation-based estimator in generalized linear mixed models. Journal of Statistical Computation and Simulation, doi:10.1080/00949655.2011.569721
  5. Li, H.; Wang, L. (2011). Second-order least squares estimation for linear mixed models. Communications in Statistics Ð Theory and Methods, accepted.
  6. Chen, S.; Hsiao, C.; Wang, L. (2011). Measurement errors and censored structural latent variables models. Econometric Theory, 28 (2012), 696-703. doi:10.1017/S0266466611000715
  7. Abarin, T.; Wang, L. (2010). Instrumental variable approach to covariate measurement error in generalized linear models. Annals of the Institute of Statistical Mathematics, 64 (2012), 475-493. doi:10.1007/s10463-010-0319-0
  8. Abarin, T. and Wang, L. (2009). Second-order least squares estimation of censored regression models. Journal of Statistical Planning and Inference, 139, 125-135. doi:10.1016/j.jspi.2008.04.016
  9. Wang, L. and Leblanc, A. (2008). Second-order nonlinear least squares estimation. Annals of the Institute of Statistical Mathematics, 60, 883-900. doi:10.1007/s10463-007-0139-z
  10. Sadatsafavi, M., Moayyeri, A., Wang, L. and Leslie, W. D. (2008). Heteroscedastic regression analysis for factors affecting bone mineral density monitoring. Journal of Bone and Mineral Research, 23, 1842-1849. doi:10.1359/JBMR.080602
  11. Sadatsafavi, M., Moayyeri, A., Wang, L. and Leslie, W. D. (2008). Optimal decision criterion for detecting change in bone mineral density during serial monitoring: a Bayesian approach. Osteoporosis International, 19, 1589-1596. doi:10.1007/s00198-008-0615-1
  12. Wang L. (2007). A unified approach to estimation of nonlinear mixed effects and Berkson measurement error models. Canadian Journal of Statistics, 35, 233-248.
  13. Wang, L. and Fu, J. C. (2007). A practical sampling approach for a Bayesian mixture model with unknown number of components. Statistical Papers, 48, 631-653.
  14. Wang, L. and Hsiao, C. (2007). Two-stage estimation of limited dependent variable models with errors-in-variables. Econometrics Journal, 10, 426-438.
  15. Wang, L. and Poezelberger, K. (2007). Crossing probability for some diffusion processes with piecewise continuous boundaries. Methodology and Computing in Applied Probability, 9, 21-40.
  16. Leslie, W. D., Moayyeri, A., Sadatsafavi, M. and Wang, L. (2007). A new approach for quantifying change and test precision in bone densitometry. Journal of Clinical Densitometry, 10, 365-369.
  17. Abarin, T. and Wang, L. (2006). Comparison of GMM with second-order least squares estimator in nonlinear models. Far East Journal of Theoretical Statistics, 20, 179-196.
  18. Wang, G. G., Wang, L. and Shan, S. (2005). Reliability assessment using discriminative sampling and metamodeling. SAE Transactions Journal of Passenger Cars: Mechanical Systems, 114, 291-300.
  19. Xue, L., Fu, J. C., Wang, F. and Wang, L. (2005). A mixture model approach to analyzing major element chemistry data of the Changjiang (Yangtze River). Environmetrics, 16, 305-318.
  20. Wang, G. G., Wang, L. and Shan, S. (2005). Reliability assessment using discriminative sampling and metamodeling. Reliability and Robust Design in Automotive Engineering 2005, 2005-01-0349, 2005 SAE World Congress Special Publications, SAE International.
  21. Wang, L. (2004). Estimation of nonlinear models with Berkson measurement errors. Annals of Statistics, 32, 2559-2579.
  22. Wang, L., Shan, S. and Wang, G. G. (2004). Mode-pursuing sampling method for global optimization on expensive black-box functions. Engineering Optimization, 36, 419-438.
  23. Wang, L. (2003). Estimation of nonlinear Berkson-type measurement error models. Statistica Sinica, 13, 1201-1210.
  24. Wang, L., Wang, G. and Shan, S. (2003). A new global optimization method for simultaneous computation on expensive black-box functions. Proceeding of the ASME 2003 Design Engineering Technical Conference and Computers and Information in Engineering Conference, Chicago, USA, September 2-6, 2003. Paper No. DAC48763.
  25. Fu, J. C., Wang, L. and Lou, W. Y. (2003). On exact and large deviation approximation for the distribution of the longest run in a sequence of two-state Markov dependent trials. Journal of Applied Probability, 40, 346-360.
  26. Wang, L. (2002). A simple adjustment for measurement errors in some limited dependent variable models. Statistics & Probability Letters, 58, 427-433.
  27. Fu, J. C. and Wang, L. (2002). A random-discretization based Monte Carlo sampling method and its application. Methodology and Computing in Applied Probability, 4, 5-25.
  28. Poezelberger, K. and Wang, L. (2001). Boundary crossing probability for Brownian motion. Journal of Applied Probability, 38, 152-164.
  29. Wang, L. (1999). Censored linear regression models. Encyclopedia of Statistical Sciences, Update Volume 3, S. Kotz, C. B. Read and D. L. Banks, eds., Wiley, New York, 71-75.
  30. Wang, L. (1998). Estimation of censored linear errors-in-variables models. Journal of Econometrics, 84, 383-400.
  31. Wang, L. and Poezelberger, K. (1997). Boundary crossing probability for Brownian motion and general boundaries. Journal of Applied Probability, 34, 54-65.
  32. Hsiao, C., Wang, L. and Wang, Q. (1997). Estimation of nonlinear errors-in-variables models - an approximate solution. Statistical Papers, 38, 1-25.
  33. Wang, L. and Hsiao, C. (1996). A semiparametric estimation of nonlinear errors-in-variables models. ASA Proceedings of the Business and Economic Statistics Section, 231-236, American Statistical Association.
  34. Wang, L. (1994). Identifiability and estimation of censored errors-in-variables models. ASA Proceedings of the Business and Economic Statistics Section, 351-354, American Statistical Association.
  35. Wang, L. (1993). General least squares regression in linear errors-in-variables models with correlated errors. Statistical Modeling and Latent Variables, 341-355, Haagen, K.; Bartholomev, D.J.; Deistler, M. (eds.), North-Holland, Amsterdam.
  36. Rissanen, J. and Wang, L. (1991). Estimation of errors in variables models. Quaderni di Statistica e Matematica Applicata alle Scienze Economico-Sociali, Volume XIII, No. 4, 47-54.
  37. Wang, L. (1991). Admissible linear estimators of the multivariate normal mean without extra information. Statistiscal Papers, 32, 155-165.
  38. Wang, L. (1991). Local parametrizations of ARMAX systems with nonlinear restrictions. Systems & Control Letters, 17, 185-189.
  39. Wang, L. (1990). Generalized shrunken least squares estimators. Chinese Journal of Applied Probability and Statistics, 6, 225-232.
  40. Wang, L. (1989). Statistical methods for set-valued observations. Chinese Journal of Applied Probability and Statistics, 5, 202-208.
  41. Deistler, M. and Wang, L. (1989). The common structure of parametrizations for linear systems. Linear Algebra and Its Applications, 122/123/124, 921-941.
liqun_wang@umanitoba.ca    |     332 Machray Hall Department of Statistics University of Manitoba     |    (204) 474 - 6270