Publications

  1. Wang L. (2007). A unified approach to estimation of nonlinear mixed effects and Berkson measurement error models. Canadian Journal of Statistics, 35, 233-248. (PDF file)
  2. 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. (PDF file)
  3. Wang, L. and Hsiao, C. (2007). Two-stage estimation of limited dependent variable models with errors-in-variables. Econometrics Journal, 10, 426-438.
  4. Wang, L. and Leblanc, A. (2007). Second-order nonlinear least squares estimation. Annals of the Institute of Statistical Mathematics, forthcoming.
  5. Wang, L. and Pötzelberger, K. (2007). Crossing probability for some diffusion processes with piecewise continuous boundaries. Methodology and Computing in Applied Probability, 9, 21-40. (PDF file)
  6. 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, forthcoming.
  7. 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. (PDF file)
  8. 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.
  9. 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. (PDF file)
  10. Wang, G. G., Wang, L. and Shan, S. (2005). Reliability assessment using discriminative sampling and metamodeling. Reliability and Robust Design in Automotive Engineering 2005, (SP-1956), 2005 SAE World Congress Special Publications, SAE International.
  11. Wang, L. (2004). Estimation of nonlinear models with Berkson measurement errors. Annals of Statistics, 32, 2559-2579. (PDF file)
  12. 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. (PDF file)
  13. Wang, L. (2003). Estimation of nonlinear Berkson-type measurement error models. Statistica Sinica, 13, 1201-1210. (PDF file)
  14. 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.
  15. 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. (PDF file)
  16. Wang, L. (2002). A simple adjustment for measurement errors in some limited dependent variable models. Statistics & Probability Letters, 58, 427-433. (PDF file)
  17. 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. (PDF file)
  18. Pötzelberger, K. and Wang, L. (2001). Boundary crossing probability for Brownian motion. Journal of Applied Probability, 38, 152-164. (PDF file)
  19. 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.
  20. Wang, L. (1998). Estimation of censored linear errors-in-variables models. Journal of Econometrics, 84, 383-400. (PDF file)
  21. Wang, L. and Pötzelberger, K. (1997). Boundary crossing probability for Brownian motion and general boundaries. Journal of Applied Probability, 34, 54-65. (PDF file)
  22. Hsiao, C., Wang, L. and Wang, Q. (1997). Estimation of nonlinear errors-in-variables models - an approximate solution. Statistical Papers, 38, 1-25.
  23. Wang, L. and Hsiao, C. (1996). A semiparametric estimation of nonlinear errors-in-variables models. ASA Proceedings of the Business and Economic Statistics Section, American Statistical Association, 231-236.
  24. Wang, L. (1994). Identifiability and estimation of censored errors-in-variables models. ASA Proceedings of the Business and Economic Statistics Section, American Statistical Association, 351-354.
  25. Wang, L. (1993). General least squares regression in linear errors-in-variables models with correlated errors. Statistical Modeling and Latent Variables, 341-355.
  26. 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.
  27. Wang, L. (1991). Admissible linear estimators of the multivariate normal mean without extra information. Statistische Hefte, 32, 155-165.
  28. Wang, L. (1991). Local parametrizations of ARMAX systems with nonlinear restrictions. Systems & Control Letters, 17, 185-189.
  29. Wang, L. (1990). Estimation of Dynamic Econometric Models with Errors in Variables - Lomba, T. J., Kyklos, 43, 679-680.
  30. Wang, L. (1990). Generalized shrunken least squares estimators. Chinese Journal of Applied Probability and Statistics, 6, 225-232.
  31. Deistler, M. and Wang, L. (1989). The common structure of parametrizations for linear systems. Linear Algebra and Its Applications, 122, 921-941.
  32. Wang, L. (1989). Statistical methods for set-valued observations. Chinese Journal of Applied Probability and Statistics, 5, 202-208.

Other Research Papers

  1. Wang, L. and Fu, J. C. (2004). A practical sampling approach for Bayesian mixture model with unknown number of components. Technical Report #2007, Department of Statistics, University of Manitoba.
  2. Wang, L. (1996). A simple adjustment for measurement errors in some limited dependent variable models. WWZ-Discussion Papers, Nr. 9609, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  3. Wang, L. (1996). Estimation of censored linear errors-in-variables models. WWZ-Discussion Papers, Nr. 9605, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  4. Hsiao, C., Wang, L. and Wang, Q. (1996). Estimation of nonlinear errors-in-variables models - an approximate solution. WWZ-Discussion Papers, Nr. 9603, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  5. Wang, L. and Hsiao, C. (1996). A simulated semiparametric estimation of nonlinear errors-in-variables models. WWZ-Discussion Papers, Nr. 9602, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  6. Wang, L. and Hsiao, C. (1995). A simulated semiparametric estimation of nonlinear errors-in-variables models. Working Paper, Department of Economics, University of Southern California.
  7. Wang, L. (1994). Boundary crossing probability for Brownian motion and general boundaries. USC-Economics - Arthur Andersen Working Paper Series, #9402, University of Southern California.
  8. Wang, L. (1994). Identification and estimation of censored regression model with errors-in-variables. USC-Economics - Arthur Andersen Working Paper Series, #9401, University of Southern California.
  9. Wang, L. (1993). Identification and estimation of errors-in-variables Tobit models. WWZ-Discussion Papers, Nr. 9304, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  10. Wang, L. (1992). Identifiability and estimation of linear censored errors-in-variables models. WWZ-Discussion Papers, Nr. 9208, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  11. Wang, L. (1991). Directed least squares regression in errors-in-variables models. WWZ-Discussion Papers, Nr. 9111, Wirtschaftswissenschaftliches Zentrum, Universität Basel.
  12. Wang, L. (1990). Local parametrization of ARMAX models under nonlinear restrictions. Forschungsbericht, Nr. 90/1, Fachbereich Statistik, Universität Dortmund.
  13. Wang, L. (1989). Admissible linear estimators of the multivariate normal mean without extra information. Forschungsbericht, Nr. 89/16, Fachbereich Statistik, Universität Dortmund.
  14. Wang, L. (1988). Allgemeine Struktur der Parameterisierung für Multivariate ARMAX Systemen. Doctoral Dissertation, Technische Universität Wien.
  15. Wang, L. (1986). General structure and parametrization of ARMAX systems with a priori restrictions. Research Report, Institute for Advanced Studies, Vienna.
  16. Wang, L. (1986). Structural identifiability and parametrization of ARMAX systems. Research Report, Institute for Advanced Studies, Vienna.
  17. Wang, L. (1986). Minimax estimator of the mean of a binomial distribution and its application to qualitative response models. Research Report, Institute for Advanced Studies, Vienna.
  18. Wang, L. (1985). Stein-rule estimation in IAS-System. Research Report, Institute for Advanced Studies, Vienna.
  19. Wang, L. (1985). Generalized shrunken least squares estimators. Research Report, Institute for Advanced Studies, Vienna.
  20. Wang, L. (1985). Minimax estimation in the case of many observations per cell in qualitative response models. Research Report, Institute for Advanced Studies, Vienna.

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