Refereed Journal Papers

1. Lee, Thomas C. M. (1997), "A Simple Span Selector for Periodogram Smoothing", Biometrika 84, 965-969. [pdf]


2. Lee, Thomas C. M. and Berman, Mark (1997), "Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures", Graphical Models and Image Processing 59, 434-445. [pdf]


3. Hudson, H. Malcolm and Lee, Thomas C. M. (1998), "Maximum Likelihood Restoration and Choice of Smoothing Parameter in Deconvolution of Image Data subject to Poisson Noise", Computational Statistics and Data Analysis 26, 393-410. [pdf]


4. Lee, Thomas C. M. (1998), "Segmenting Images Corrupted by Correlated Noise", IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 481-492. [pdf]


5. Lee, Thomas C. M. (1999), "A Stochastic Tessellation for Modelling and Simulating Colour Aluminium Grain Images", Journal of Microscopy 193, 109-126. [pdf]


6. Lee, Thomas C. M. and Solo, Victor (1999), "Bandwidth Selection for Local Linear Regression: A Simulation Study", Computational Statistics 14, 515-532. [pdf]


7. Lee, Thomas C. M. (2000), "A Minimum Description Length Based Image Segmentation Procedure, and Its Comparison with a Cross-Validation Based Segmentation Procedure", Journal of the American Statistical Association 95, 259-270. [pdf]


8. Lee, Thomas C. M. (2000), "Regression Spline Smoothing using the Minimum Description Length Principle", Statistics & Probability Letters 48, 71-82. [pdf]


9. Talbot, Hugues; Lee, Thomas C. M.; Jeulin, Dominique; Hanton, Daniel and Hobbs, Linn W. (2000), "Image Analysis of Insulation Mineral Fibres", Journal of Microscopy 200, 251-268. [pdf]


10. Lee, Thomas C. M. (2001), "A Stabilized Bandwidth Selection Method for Kernel Smoothing of the Periodogram", Signal Processing 81, 419-430. [pdf]


11. Lee, Thomas C. M. (2001), "An Introduction to Coding Theory and the Two-Part Minimum Description Length Principle", International Statistical Review 69, 169-183. [pdf]


12. Lee, Thomas C. M. (2002), "Automatic Smoothing for Discontinuous Regression Functions", Statistica Sinica 12, 823-842. [paper+support document] [paper only] [support document only].


13. Lee, Thomas C. M. (2002), "On Algorithms for Ordinary Least Squares Regression Spline Fitting: A Comparative Study", Journal of Statistical Computation and Simulation 72, 647-663. [pdf]


14. Lee, Thomas C. M. (2002), "Tree-Based Wavelet Regression for Correlated Data using the Minimum Description Length Principle", Australian & New Zealand Journal of Statistics 44, 23-39. [pdf]


15. Lee, Thomas C. M. (2003), "Smoothing Parameter Selection for Smoothing Splines: A Simulation Study", Computational Statistics and Data Analysis 42, 139-148. [pdf]


16. Lee, Thomas C. M. and Wong, Tan F. (2003), "Nonparametric Log-Spectrum Estimation using Disconnected Regression Splines and Genetic Algorithms", Signal Processing 83, 79-90. [pdf]


17. Lee, Thomas C. M. (2004), "Improved Smoothing Spline Regression by Combining Estimates of Different Smoothness", Statistics & Probability Letters 67, 133-140. [pdf]


18. Hannig, Jan and Lee, Thomas C. M. (2004), "Kernel Smoothing of Periodograms under Kullback-Leibler Discrepancy", Signal Processing 84, 1255-1266. [pdf]


19. Lee, Thomas C. M. and Oh, Hee-Seok (2004), "Automatic Polynomial Wavelet Regression", Statistics and Computing 14, 337-341. [pdf]


20. Craiu, Radu V. and Lee, Thomas C. M. (2005), "Model Selection for the Competing Risks Model With and Without Masking", Technometrics 47, 457-467. [pdf]


21. Oh, Hee-Seok and Lee, Thomas C. M. (2005), "Hybrid Local Polynomial Wavelet Shrinkage: Wavelet Regression with Automatic Boundary Adjustment", Computational Statistics and Data Analysis 48, 809-819. [pdf]


22. Craiu, Radu V. and Lee, Thomas C. M. (2006), "Pattern Generation using Likelihood Inference for Cellular Automata", IEEE Transactions on Image Processing 15, 1718-1727. [pdf]


23. Davis, Richard A.; Lee, Thomas C. M. and Rodriguez-Yam, Gabriel A. (2006), "Structural Breaks Estimation for Non-stationary Time Series Models", Journal of the American Statistical Association 101, 223-239. [pdf]


24. Hannig, Jan and Lee, Thomas C. M. (2006), "On Poisson Signal Estimation under Kullback-Leibler Discrepancy and Squared Risk", Journal of Statistical Planning and Inference 136, 882-908. [pdf]


25. Hannig, Jan and Lee, Thomas C. M. (2006), "Robust SiZer for Exploration of Regression Structures and Outlier Detection", Journal of Computational and Graphical Statistics 15, 101-117. [pdf]


26. Huang, Hsin-Cheng and Lee, Thomas C. M. (2006), "Data Adaptive Median Filters for Signal and Image Denoising using a Generalized SURE Criterion", IEEE Signal Processing Letters 13, 561-564. [pdf]


27. Wang, Haonan and Lee, Thomas C. M. (2006), "Automatic Parameter Selection for a k-Segments Algorithm for Computing Principal Curves", Pattern Recognition Letters 27, 1142-1150. [pdf]


28. Yao, Fang and Lee, Thomas C. M. (2006), "Penalized Spline Models for Functional Principal Component Analysis", Journal of the Royal Statistical Society Series B 68, 3-25. [pdf]


29. Lee, Thomas C. M. and Oh, Hee-Seok (2006), "Robust Penalized Regression Spline Fitting with Application to Additive Mixed Modeling", Computational Statistics, to appear.


30. Whitaker, Stephan and Lee, Thomas C. M. (2006), "An Effective Method for Selecting the Number of Components in Density Mixtures", Journal of Statistical Computation and Simulation, to appear.