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Last update: August 23, 2024.
Refereed Journal Papers
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Lee, Thomas C. M. (1997), "A Simple Span Selector for
Periodogram Smoothing", Biometrika 84, 965-969.
[pdf]
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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]
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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]
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Lee, Thomas C. M. (1998), "Segmenting Images Corrupted by
Correlated Noise", IEEE Transactions on Pattern Analysis and
Machine Intelligence 20, 481-492.
[pdf]
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Lee, Thomas C. M. (1999), "A Stochastic Tessellation for
Modelling and Simulating Colour Aluminium Grain Images", Journal
of Microscopy 193, 109-126.
[pdf]
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Lee, Thomas C. M. and Solo, Victor (1999), "Bandwidth
Selection for Local Linear Regression: A Simulation Study",
Computational Statistics 14, 515-532.
[pdf]
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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]
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Lee, Thomas C. M. (2000), "Regression Spline Smoothing using
the Minimum Description Length Principle", Statistics &
Probability Letters 48, 71-82.
[pdf]
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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]
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Lee, Thomas C. M. (2001), "A Stabilized Bandwidth Selection
Method for Kernel Smoothing of the Periodogram", Signal
Processing 81, 419-430.
[pdf]
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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]
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Lee, Thomas C. M. (2002), "Automatic Smoothing for
Discontinuous Regression Functions", Statistica Sinica 12,
823-842.
[paper+support document]
[paper only]
[support document only].
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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]
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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]
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Lee, Thomas C. M. (2003), "Smoothing Parameter Selection for
Smoothing Splines: A Simulation Study", Computational Statistics
and Data Analysis 42, 139-148.
[pdf]
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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]
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Lee, Thomas C. M. (2004), "Improved Smoothing Spline
Regression by Combining Estimates of Different Smoothness",
Statistics & Probability Letters 67, 133-140.
[pdf]
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Hannig, Jan and Lee, Thomas C. M. (2004), "Kernel Smoothing
of Periodograms under Kullback-Leibler Discrepancy", Signal
Processing 84, 1255-1266.
[pdf]
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Lee, Thomas C. M. and Oh, Hee-Seok (2004), "Automatic
Polynomial Wavelet Regression", Statistics and Computing
14, 337-341.
[pdf]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Lee, Thomas C. M. and Oh, Hee-Seok (2007), "Robust Penalized
Regression Spline Fitting with Application to Additive Mixed
Modeling", Computational Statistics 22, 159-171.
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Oh, Hee-Seok; Nychka, Doug and Lee, Thomas C. M. (2007), "The
Role of Pseudo Data for Robust Smoothing with Application to Wavelet
Regression", Biometrika 94, 893-904.
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Shen, Haipeng; Zhu, Zhengyuan and Lee, Thomas C. M. (2007),
"Robust Estimation of Self-similarity Parameter in Network Traffic
using Wavelet Transform", Signal Processing 87, 2111-2124.
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Whitaker, Stephan and Lee, Thomas C. M. (2007), "An Effective
Method for Selecting the Number of Components in Density Mixtures",
Journal of Statistical Computation and Simulation 77,
907-914.
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Yao, Fang and Lee, Thomas C. M. (2007), "Spectral Density
Estimation Using Sharpened Periodograms", IEEE Transactions on
Signal Processing 55, 4711-4716.
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Davis, Richard A.; Lee, Thomas C. M. and Rodriguez-Yam,
Gabriel A. (2008), "Break Detection for a Class of Nonlinear Time
Series Models", Journal of Time Series Analysis 29,
834-867.
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Gilleland, Eric; Lee, Thomas C. M.; Halley-Gotway, John;
Bullock, Randy G. and Brown, Barb (2008), "Computationally Efficient
Spatial Forecast Verification using Baddeley's Delta Image
Metric", Monthly Weather Review 136, 1747-1757.
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Wang, Haonan and Lee, Thomas C. M. (2008), "Extraction of
Curvilinear Features from Noisy Point Patterns using Principal
Curves", Pattern Recognition Letters 29, 2078-2084.
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Whitcher, Brandon; Lee, Thomas C. M.; Weiss, Jeffrey B.;
Nychka, Douglas W. and Hoar, Timothy J. (2008), "A Multiresolution
Census Algorithm for Calculating Vortex Statistics in Turbulent
Flows", Journal of the Royal Statistical Society Series C (Applied
Statistics) 57, 293-312.
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Yao, Fang and Lee, Thomas C. M. (2008), "An Improved Knot
Placement Scheme for Penalized Spline Regression", Journal of the
Korean Statistical Society 37, 259-267.
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Hannig, Jan and Lee, Thomas C. M. (2009), "Generalized Fiducial
Inference for Wavelet Regression", Biometrika 96, 847-860.
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Storlie, Curtis B.; Lee, Thomas C. M.; Hannig, Jan and Nychka,
Douglas (2009), "Tracking of Multiple Merging and Splitting Targets: A
Statistical Perspective (with Commentaries)", Editor Invited Thesis
Paper, Statistica Sinica 19, 1-52.
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Yao, Fang and Lee, Thomas C. M. (2009), "Automatic and
Asymptotically Optimal Data Sharpening for Nonparametric
Regression", Journal of Statistical Planning and Inference
139, 4017-4030.
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Chan, Ngai-Hang; Lee, Thomas C. M. and Peng, Liang (2010), "On
Nonparametric Local Inference for Density Estimation",
Computational Statistics and Data Analysis 54, 509-515.
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Lai, Randy C. S.; Lee, Thomas C. M.; Wong, Raymond K.W. and
Yao, Fang (2010), "Nonparametric Cepstrum Estimation via Optimal Risk
Smoothing", IEEE Transactions on Signal Processing 58, 1507-1514.
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Lu, QiQi.; Lund, Robert and Lee, Thomas C. M. (2010), "An MDL
Approach to the Climate Segmentation Problem", Annals of Applied
Statistics 4, 299-319.
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Park, Cheolwoo; Lee, Thomas C. M. and Hannig, Jan (2010),
"Multiscale Exploratory Analysis of Regression Quantiles using
Quantile SiZer", Journal of Computational and Graphical
Statistics 19, 497-513.
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Wong, Raymond K. W.; Lai, Randy C. S. and Lee, Thomas C. M.
(2010), "Structural Break Estimation of Noisy Sinusoidal
Signals", Signal Processing 90, 303-312.
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Aue, Alexander and Lee, Thomas C. M. (2011), "On Image
Segmentation using Information Theoretic Criteria", Annals of
Statistics 39, 2912-2935.
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Oh, Hee-Seok; Lee, Thomas C. M. and Nychka, Douglas W. (2011),
"Fast Nonparametric Quantile Regression with Arbitrary Smoothing
Methods", Journal of Computational and Graphical Statistics
20, 510-526.
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Storlie, Curtis B.; Hannig, Jan and Lee, Thomas C. M. (2011),
"Statistical Consistency of the Data Association Problem in Multiple
Target Tracking", Electronic Journal of Statistics 5,
1227-1275.
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Yao, Fang; Fu, Yuejiao and Lee, Thomas C. M. (2011),
"Functional Mixture Regression", Biostatistics 12, 341-353.
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Aue, Alexander; Lee, Thomas C. M. and Wang, Haonan (2012), "Local Bandwidth Selection via Second Derivative Segmentation", Electronic Journal of
Statistics 6, 478-500.
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Lai, Randy C. S.; Huang, Hsin-Cheng and Lee, Thomas C. M. (2012), "Fixed and Random Effects Selection in Nonparametric Additive Mixed Models", Electronic Journal of Statistics 5, 810-842.
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Nosedal-Sancheza, Alvaro; Storlie, Curtis B.; Lee, Thomas C. M. and Christensen, Ronald (2012), "Reproducing Kernel Hilbert Spaces for Penalized Regression: A Tutorial", The American Statistician 66, 50-60.
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Hannig, Jan; Lee, Thomas C. M. and Park, Cheolwoo (2013), "Metrics for SiZer Map Comparison", Stat 2, 49-60.
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Stenning, David C.; Lee, Thomas C. M.; van Dyk, David A.; Kashyap, Vinay;
Sandell, Julia and Young, C. Alex (2013), "Morphological Feature Extraction for
Statistical Learning with Applications to Solar Image Data", Statistical Analysis and Data Mining 6, 329-345.
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Aue, Alexander; Cheung, Rex C. Y.; Lee, Thomas C. M. and Zhong, Ming (2014), "Segmented Model Selection in Quantile Regression using the Minimum Description Length Principle", Journal of the American Statistical Association 109, 1241-1256.
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Han, Shengtong; Wong, Raymond K. W.; Lee, Thomas C. M.; Shen, Linghao; Li, Shuo-Yen R. and Fan, Xiaodan (2014), "A Full Bayesian Approach for Boolean Genetic Network Inference", PLoS ONE 9(12): e115806.
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Hannig, Jan; Lai, Randy C. S. and Lee, Thomas C. M. (2014), "Computational Issues of Generalized Fiducial Inference", Computational Statistics and Data Analysis 71, Special Issue on Imprecision in Statistical Data Analysis, 849-858.
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Wong, Raymond K. W.; Baines, Paul; Aue, Alexander; Lee, Thomas C. M. and Kashyap, Vinay L. (2014), "Automatic Estimation of Flux Distributions of Astrophysical Source Populations", Annals of Applied Statistics 8, 1690-1712.
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Wong, Raymond K. W.; Yao, Fang and Lee, Thomas C. M. (2014), "Robust Estimation for Generalized Additive Models", Journal of Computational and Graphical Statistics 23, 270-289.
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Fan, Minjie and Lee, Thomas C. M. (2015), "On Variants of Seeded Region Growing", IET Image Processing 9, 478-485.
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Lai, Randy C. S.; Hannig, Jan and Lee, Thomas C. M. (2015), "Generalized Fiducial Inference for Ultrahigh Dimensional Regression", Journal of the American Statistical Association 110, 760-772.
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Yau, Chun-Yip; Tang, Chong-Man and Lee, Thomas C. M. (2015), "Estimation of Multiple-Regime Threshold Autoregressive Models with Structural Breaks", Journal of the American Statistical Association, 110, 1175-1186.
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Gao, Qi and Lee, Thomas C. M. (2016), "High Dimensional Variable Selection in Regression and Classification with Missing Data", Signal Processing 131, 1-7.
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Hannig, Jan; Iyer, Hari; Lai, Randy C. S. and Lee, Thomas C. M. (2016), "Generalized Fiducial Inference: A Review and New Results", Journal of the American Statistical Association 111, 1346-1361.
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Huang, Hsin-Cheng and Lee, Thomas C. M. (2016), "High-Dimensional Covariance Estimation under the Presence of Outliers", Statistics and Its Interface 9, Special Issue on Statistical and Computational Theory and Methodology for Big Data, 461-468. (Invited by guest editors.)
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Wong, Raymond K. W.; Kashyap, Vinay L.; Lee, Thomas C. M. and van Dyk, David A. (2016), "Detecting Abrupt Changes in the Spectra of High-Energy Astrophysical Sources", Annals of Applied Statistics 10, 1107-1134.
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Wong, Raymond K. W.; Lee, Thomas C. M.; Paul, Debashis and Peng, Jie (2016), "Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI (with Discussions)", Annals of Applied Statistics 10, 1137-1169.
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Aue, Alexander; Cheung, Rex C. Y.; Lee, Thomas C. M. and Zhong, Ming (2017), "Piecewise Quantile Autoregressive Modeling For Non-stationary Time Series", Bernoulli 23, 1-22.
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Cheung, Rex C. Y.; Aue, Alexander and Lee, Thomas C. M. (2017), "Consistent Estimation for Partition-wise Regression and Classification Models", IEEE Transactions on Signal Processing 65, 3662-3674.
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Gao, Qi; Lee, Thomas C. M.; Yau, Chun Yip (2017), "Nonparametric Modeling and Break Point Detection for Time Series Signal of Counts", Signal Processing 138, 307-312.
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McConville, Kelly S.; Breidt, F. Jay; Lee, Thomas C. M. and Moisen, Gretchen G. (2017), "Model-Assisted Survey Regression Estimation with the Lasso", Journal of Survey Statistics and Methodology 5, 131-158.
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Wong, Raymond K. W. and Lee, Thomas C. M. (2017), "Matrix Completion with Noisy Entries and Outliers", Journal of Machine Learning Research 18, 1-25.
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Wong, Raymond K. W.; Storlie, Curtis B. and Lee, Thomas C. M. (2017), "A Frequentist Approach to Computer Model Calibration", Journal of the Royal Statistical Society Series B 79, 635-648.
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Fan, Minjie; Paul, Debashis; Lee, Thomas C. M. and Matsuo, Tomoko (2018), "A Multi-Resolution Model for Non-Gaussian Random Fields on a Sphere with Application to Ionospheric Electrostatic Potentials", Annals of Applied Statistics 12, 459-489.
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Fan, Minjie; Paul, Debashis; Lee, Thomas C. M. and Matsuo, Tomoko (2018), "Modeling Tangential Vector Fields on a Sphere", Journal of the American Statistical Association 113, 1625-1636.
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Wang, Justin; Wong, Raymond K. W. and Lee, Thomas C. M. (2019), "Locally
Linear Embedding with Additive Noise", Pattern Recognition Letters 123, 47-52.
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Cheung, Rex C. Y.; Aue, Alexander; Hwang, Seungyong and Lee, Thomas C. M. (2020), "Simultaneous detection of multiple change points and community structures in time series of networks", IEEE Transactions on Signal and Information Processing over Networks 6, 580-591.
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Gao, Qi; Lai, Randy C. S.; Lee, Thomas C. M. and Li, Yao (2020), "Uncertainty Quantification for High Dimensional Sparse Nonparametric Additive Models", Technometrics 62, 513-524.
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Lopes, Miles E.; Wu, Suofei and Lee, Thomas C. M. (2020), "Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting", SIAM Journal on Mathematics of Data Science 2, 921-943.
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Su, Yi; Wong, Raymond K. W. and Lee, Thomas C. M. (2020), "Network Estimation via Graphon with Node Features", IEEE Transactions on Network Science and Engineering 7, 2078-2089.
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Lai, Randy C. S.; Hannig, Jan and Lee, Thomas C. M. (2021), "Method G: Uncertainty Quantification for Distributed Data Problems using Generalized Fiducial Inference", Journal of Computational and Graphical Statistics 30, 934-945.
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Matsuo, Tomoko; Fan, Minjie; Shi, Xueling; Miller, Caleb; Ruohoniemi, J. Michael; Paul, Debashis and Lee, Thomas C. M. (2021), "Multiresolution Modeling of High-latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data", Journal of Geophysical Research - Space Physics 126, e2021JA029196.
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Shi, W. Jenny; Hannig, Jan; Lai, Randy C. S. and Lee, Thomas C. M. (2021), "Covariance Estimation via Fiducial Inference", Statistical Theory and Related Fields 5, 316-331.
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Wu, Suofei; Hannig, Jan and Lee, Thomas C. M. (2021), "Uncertainty Quantification for Principal Component Regression", Electronic Journal of Statistics 15, 2157-2178.
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Xu, Cong; Gunther, Hans Moritz; Kashyap, Vinay; Lee, Thomas C. M. and Zezas, Andreas (2021), "Change Point Detection and Image Segmentation for Time Series of Astrophysical Images", Astronomical Journal 161, 184.
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Han, Yi and Lee, Thomas C. M. (2022), "Uncertainty Quantification for Sparse Estimation of Spectral Lines", IEEE Transactions on Signal Processing 70, 6243- 6256.
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Hwang, Seungyong; Lai, Randy C. S. and Lee, Thomas C. M. (2022), "Generalized Fiducial Inference for Threshold Estimation in Dose-Response and Regression Settings", Journal of Agricultural, Biological and Environmental Statistics 27, 109-124.
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Li, Yao; Cheng, Minhao; Hsieh, Cho-Jui and Lee, Thomas C. M. (2022), "A Review of Adversarial Attack and Defense for Classification Methods", The American Statistician 76, 329-345.
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Su, Yi; Hannig, Jan and Lee, Thomas C. M. (2022) "Uncertainty Quantification in Graphon Estimation using Generalized Fiducial Inference", IEEE Transactions on Signal and Information Processing over Networks 8, 597-609.
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Wang, Justin; Lee, Marie A. and Lee, Thomas C. M. (2022), "When might We Break the Rules? A Statistical Analysis of Aesthetics in Photographs", PLOS One 17, e0269152.
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Wu, Suofei; Hannig, Jan and Lee, Thomas C. M. (2022), "Uncertainty Quantification for Ensembles of Honest Regression Trees", Computational Statistics and Data Analysis 167, 107377.
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Xu, Cong and Lee, Thomas C. M. (2022), "Change Point Detection and Node Clustering for Time Series of Graphs", IEEE Transactions on Signal Processing 70, 3165-3180.
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Xu, Cong and Lee, Thomas C. M. (2022), "Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks", IEEE Transactions on Signal and Information Processing over Networks 8, 215-227.
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Zhang, Chunzhe; Storlie, Curtis B. and Lee, Thomas C. M. (2022), "Sensitivity Analysis in Classification using Bayesian Smoothing Spline ANOVA Probit Regression", Canadian Journal of Statistics 50, 928-950.
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Fan, Minjie; Wang, Jue; Kashyap, Vinay L.; Lee, Thomas C. M.; van Dyk, David A. and Zezas, Andreas (2023), "Identifying Diffuse Spatial Structures in High-energy Photon Lists", The Astronomical Journal 165, 66.
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Wei, Zhenyu and Lee, Thomas C. M. (2023), "High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference", Journal of Computational and Graphical Statistics 32, 226-240.
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Liang, Yuefeng; Hsieh, Cho-Jui and Lee, Thomas C. M. (2023), "Fast Block-wise Partitioning for Extreme Multi-label Classification", Data Mining Knowledge Discovery 37, 2192–2215.
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Han, Yi and Lee, Thomas C. M. (2024), "Structural Break Detection in Non-Stationary Network Vector Autoregression Models", IEEE Transactions on Network Science and Engineering 11, 4134-4145.
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Hwang, Seungyong; Lee, Thomas C. M.; Paul, Debashis and Peng, Jie (2024), "Estimating Fiber Orientation Distribution with Application to Study Brain Lateralization using HCP D-MRI Data", Annals of Applied Statistics 18 100-124.
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Kang, Yue; Hsieh, Cho-Jui and Lee, Thomas C. M. (2024), "Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits", Transactions on Machine Learning Research, 2835-8856.
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Li, Yao; Tang, Tongy; Hsieh Cho-Jui and Lee, Thomas C. M. (2024), "Adversarial Examples Detection With Bayesian Neural Network", IEEE Transactions on Emerging Topics in Computational Intelligence, to appear. %doi: 10.1109/TETCI.2024.3372383.
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Liang, Yuefeng; Hsieh, Cho-Jui and Lee, Thomas C. M. (2024), "A Refined Reweighing Technique for Nondiscriminatory Classification", PLOS ONE 19(8), e0308661.
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