@article{10.1214/21-BA1257, author = {John R. Lewis and Steven N. MacEachern and Yoonkyung Lee}, title = {{Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression (with Discussion)}}, volume = {16}, journal = {Bayesian Analysis}, number = {4}, publisher = {International Society for Bayesian Analysis}, pages = {1393 -- 2854}, keywords = {Markov chain Monte Carlo, M-estimation, robust regression}, year = {2021}, doi = {10.1214/21-BA1257}, URL = {https://doi.org/10.1214/21-BA1257} } @article{Landgraf:Lee20, author = {Andrew J. Landgraf and Yoonkyung Lee}, title = {Dimensionality Reduction for Binary Data through the Projection of Natural Parameters}, journal = {Journal of Multivariate Analysis}, volume = {180}, pages = {104668}, year = {2020}, publisher = {Elsevier}, doi = {10.1016/j.jmva.2020.104668}, URL = {https://doi.org/10.1016/j.jmva.2020.104668}, eprint = {https://doi.org/10.1016/j.jmva.2020.104668} } @article{doi:10.1002/wics.1507, author = {Blake, Tayler A. and Lee, Yoonkyung}, title = {Nonparametric covariance estimation with shrinkage toward stationary models}, journal = {WIREs Computational Statistics}, volume = {12}, number = {6}, pages = {e1507}, keywords = {autoregression, Cholesky decomposition, covariance function, functional ANOVA model, stationary model}, doi = {10.1002/wics.1507}, url = {https://doi.org/10.1002/wics.1507}, eprint = {https://doi.org/10.1002/wics.1507}, year = {2020} } @article{Landgraf:Lee20, author = {Andrew J. Landgraf and Yoonkyung Lee}, title = {Generalized Principal Component Analysis: Projection of Saturated Model Parameters}, journal = {Technometrics}, volume = {62}, number = {4}, pages = {459-472}, year = {2020}, publisher = {Taylor & Francis}, doi = {10.1080/00401706.2019.1668854}, URL = { https://doi.org/10.1080/00401706.2019.1668854 }, eprint = { https://doi.org/10.1080/00401706.2019.1668854 } } @article{doi:10.1080/01621459.2016.1215988, author = {Uematsu, Kazuki and Lee, Yoonkyung}, title = {On Theoretically Optimal Ranking Functions in Bipartite Ranking}, journal = {Journal of the American Statistical Association}, volume = {112}, number = {519}, pages = {1311--1322}, year = {2017}, doi = {10.1080/01621459.2016.1215988}, URL = { http://dx.doi.org/10.1080/01621459.2016.1215988} } @TechReport{Landgraf:Lee:15b, author = {Andrew J. Landgraf and Yoonkyung Lee}, title = {Generalized Principal Component Analysis: Projection of Saturated Model Parameters}, institution = {Department of Statistics, The Ohio State University}, year = {2015}, number = {892} } @TechReport{Landgraf:Lee:15a, author = {Andrew J. Landgraf and Yoonkyung Lee}, title = {Dimensionality Reduction for Binary Data through the Projection of Natural Parameters}, institution = {Department of Statistics, The Ohio State University}, year = {2015}, number = {890} } @Article{top2014, author = {Yoonkyung Lee}, title = {Comments on: Support vector machines maximizing geometric margins for multi-class classification}, journal = {TOP}, year = {2014}, volume = {22}, issue = {3}, pages = {852--855} } @TechReport{Lewis:MacEachern:Lee:14, author = {John R. Lewis and Steve N. MacEachern and Yoonkyung Lee}, title = {Bayesian Restricted Likelihood Methods}, institution = {Department of Statistics, The Ohio State University}, year = {2014}, number = {878} } @Article{Jung:Lee:MacEachern:15, author = {Yoonsuh Jung and Yoonkyung Lee and Steven N. MacEachern}, title = {Efficient Quantile Regression for Heteroscedastic Models}, journal = {Journal of Statistical Computation and Simulation}, year = {2015}, volume = {85}, issue = {13}, pages = {2548--2568} } @TechReport{Jung:Lee:MacEachern:14, author = {Yoonsuh Jung and Yoonkyung Lee and Steven N. MacEachern}, title = {Efficient Quantile Regression for Heteroscedastic Models}, institution = {Department of Statistics, The Ohio State University}, year = {2014}, number = {877} } @Article{Uematsu:Lee:13, author = {Kazuki Uematsu and Yoonkyung Lee}, title = {Statistical Optimality in Multipartite Ranking and Ordinal Regression}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2015}, volume = {37}, number = {5}, pages = {1080-1094}, month = {May} } @Article{polyKPCA, author = {Zhiyu Liang and Yoonkyung Lee}, title = {Eigen-Analysis of Nonlinear {PCA} with Polynomial Kernels}, journal = {Statistical Analysis and Data Mining}, year = {2013}, volume = {6}, issue = {6}, pages = {529--544} } @Article{Lee:Wang, author = {Yoonkyung Lee and Rui Wang}, title = {Does Modeling Lead to More Accurate Classification?: A Study of Relative Efficiency in Linear Classification}, journal = {Journal of Multivariate Analysis}, year = {2015}, volume = {133}, pages = {232--250} } @TechReport{Lee:Wang:12, author = {Yoonkyung Lee and Rui Wang}, title = {Does Modeling Lead to More Accurate Classification?: A Study of Relative Efficiency}, institution = {Department of Statistics, The Ohio State University}, year = {2012}, number = {869} } @Article{Liu:Shi:Lee:14, author = {Cong Liu and Tao Shi and Yoonkyung Lee}, title = {Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building}, journal = {Statistical Analysis and Data Mining}, year = {2014}, volume = {7}, issue = {2}, pages = {140--159} } @InProceedings{Lewis:MacEachern:Lee12, author = {John R. Lewis and Steve N. MacEachern and Yoonkyung Lee}, title = {Robust Inference via the Blended Paradigm}, booktitle = {Proceedings of the Joint Statistical Meetings}, year = {2012}, organization = {ASA}, pages = {1773--1786} } @TechReport{Uematsu:Lee:11, author = {Kazuki Uematsu and Yoonkyung Lee}, title = {On Theoretically Optimal Ranking Functions in Bipartite Ranking}, institution = {Department of Statistics, The Ohio State University}, year = {2011}, number = {863} } @TechReport{qrwindowwidth, author = {Yoonsuh Jung and Steven N. MacEachern and Yoonkyung Lee}, title = {Window Width Selection for $l_2$ Adjusted Quantile Regression}, institution = {Department of Statistics, The Ohio State University}, year = {2010}, number = {835} } @TechReport{samplesize, author = {Youlan Rao and Yoonkyung Lee and Jason C. Hsu}, title = {Determination of Sample Size for Validation Study in Pharmacogenomics}, institution = {Department of Statistics, The Ohio State University}, year = {2010}, number = {834} } @InCollection{svmtutorial, author = {Yoonkyung Lee}, editor = {Heejung Bang and Xi Kathy Zhou and Heather L. Van Epps and Madhu Mazumdar}, booktitle = {Statistical Methods in Molecular Biology}, title = {Support Vector Machines for Classification: A Statistical Portrait}, chapter = {11}, publisher = {Humana Press}, year = {2010}, number = {620}, series = {Methods in Molecular Biology}, pages = {347--368} } @InCollection{pharmacogenomics, author = {Jason C. Hsu and Youlan Rao and Yoonkyung Lee and Jane Chang and Kristin Bergsteinsdottir and Magnus Karl Magnusson and Tao Wang and Eirikur Steingrimsson}, title = {Design and Analysis of Microarray Experiments for Pharmacogenomics}, booktitle = {Multiple Testing Problems in Pharmaceutical Statistics}, publisher = {Chapman \& Hall}, year = {2009}, pages = {239--264}, editor = {Alex Dmitrienko and Ajit C. Tamhane and Frank Bretz}, series = {CRC Biostatistics Series} } @Article{Yao:Lee, author = {Yonggang Yao and Yoonkyung Lee}, title = {Another Look at Linear Programming for Feature Selection via Methods of Regularization}, journal = {Statistics and Computing}, year = {2014}, volume = {24}, issue = {5}, pages = {885--905}, note = {DOI: 10.1007/s11222-013-9408-2} } @Article{regcaseparam, author = {Yoonkyung Lee and Steven N. MacEachern and Yoonsuh Jung}, title = {Regularization of Case-Specific Parameters for Robustness and Efficiency}, journal = {Statistical Science}, year = {2012}, volume = {27}, number = {3}, pages = {350--372} } @Article{microrna, author = {Y. Rao and Y. Lee and D. Jarjoura and A. S. Ruppert and C. Liu and J. C. Hsu and J. P. Hagan}, title = {A Comparison of Normalization Techniques for Micro{RNA} Microarray Data}, journal = {Statistical Applications in Genetics and Molecular Biology}, year = {2008}, volume = {7}, issue = {1}, pages = {article 22} } @Article{bahadursvm, author = {Ja-Yong Koo and Yoonkyung Lee and Yuwon Kim and Changyi Park}, title = {A {B}ahadur Representation of the Linear {S}upport {V}ector {M}achine}, journal = {Journal of Machine Learning Research}, year = {2008}, volume = {9}, number = {}, pages = {1343--1368} } @Article{msvmpath, author = {Yoonkyung Lee and Zhenhuan Cui}, title = {Characterizing the Solution Path of {M}ulticategory {S}upport {V}ector {M}achines}, journal = {Statistica Sinica}, year = {2006}, volume = {16}, number = {2}, pages = {391--409} } @Article{smsvm, author = {Yoonkyung Lee and Yuwon Kim and Sangjun Lee and Ja-Yong Koo}, title = {Structured {M}ulticategory {S}upport {V}ector {M}achine with {ANOVA} decomposition}, journal = {Biometrika}, year = {2006}, volume = {93}, number = {3}, pages = {555--571} } @Article{lee:wahba:ackerman03, author = {Lee, Y. and Wahba, G. and Ackerman, S.}, title = {Classification of Satellite Radiance Data by Multicategory Support Vector Machines}, journal = {Journal of Atmospheric and Oceanic Technology}, year = {2004}, volume = {21}, number = {2}, pages = {159--169} } @Article{lee:lin:wahba03, author = {Y. Lee and Y. Lin and G. Wahba}, title = {Multicategory {S}upport {V}ector {M}achines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data}, journal = {Journal of the American Statistical Association}, year = {2004}, volume = {99}, pages = {67--81} } @phdthesis{lee:thesis, author = {Y. Lee}, title = {Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data}, school = {Department of Statistics, University of Wisconsin-Madison}, year = {2002} } @Article{lee:lee02, author = {Yoonkyung Lee and Cheol-Koo Lee}, title = {Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Data}, journal = {Bioinformatics}, year = {2003}, volume = {19}, number = {9}, pages = {1132--1139} } @InProceedings{lee:lin:wahba01, author = {Y. Lee and Y. Lin and G. Wahba}, title = {Multicategory {S}upport {V}ector {M}achines}, booktitle = {Computing Science and Statistics 33}, year={2001}, publisher={}, pages = {498--512}, editor = {Edward J. Wegman and Amy Braverman and Arnold Goodman and Padhraic Smyth}, note={Also available as University of Wisconsin-Madison Statistcs Dept TR 1043, {\tt http://www.stat.wisc.edu/\~{}wahba -> TRLIST}.} } @InProceedings{wahba:lin:lee:zhang02, author = {G. Wahba and Y. Lin and Y. Lee and H. Zhang}, title = {Optimal Properties and Adaptive Tuning of Standard and Nonstandard {S}upport {V}ector {M}achines}, booktitle = {Nonlinear Estimation and Classification}, year={2003}, publisher={Springer, New York}, pages = {129--147}, editor = {Denison, D. D. and Hansen, M. H. and Holmes, C. C. and Mallick, B. and Yu, B.} } @Article{lin:wahba:zhang:lee02, author = {Y. Lin and G. Wahba and H. Zhang and Y. Lee}, title = {Statistical Properties and Adaptive Tuning of {S}upport {V}ector {M}achines}, journal = {Machine Learning}, year = {2002}, volume = {48}, pages = {115--136} } @Article{lin:lee:wahba:02, author = {Y. Lin and Y. Lee and G. Wahba}, title = {Support {V}ector {M}achines for Classification in Nonstandard Situations}, journal = {Machine Learning}, year = {2002}, volume = {46}, pages = {191--202} }