Publications

(2020). RaSE: Random Subspace Ensemble Classification. arXiv preprint arXiv:2006.08855.

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(2020). On the estimation of correlation in a binary sequence model. Journal of Statistical Planning and Inference.

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(2019). Likelihood adaptively modified penalties. Applied Stochastic Models in Business and Industry.

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(2019). A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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(2017). Post selection shrinkage estimation for high-dimensional data analysis. Applied Stochastic Models in Business and Industry.

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(2017). How Many Communities Are There?. Journal of Computational and Graphical Statistics.

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(2017). Discussion on 'Random-projection ensemble classification' by Cannings and Samworth. Journal of the Royal Statistical Society, Ser. B..

(2016). Variable Selection and Prediction with Incomplete High-Dimensional Data. The Annals of Applied Statistics.

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(2016). Community detection with nodal information. arXiv preprint arXiv:1610.09735.

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(2016). A survey on Neyman-Pearson classification and suggestions for future research. Wiley Interdisciplinary Reviews: Computational Statistics.

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(2014). Modified Cross-Validation for LASSO Penalized High-Dimensional Linear Models. Journal of Computational and Graphical Statistics.

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(2013). A conversation with Jianqing Fan. ICSA Bulletin.

(2010). High-dimensional variable selection for Cox's proportional hazards model. IMS Collections, Borrowing Strength: Theory Powering Applications - A Festschrift for Lawrence D. Brown.

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(2009). Network exploration via the adaptive LASSO and SCAD penalties. The Annals of Applied Statistics.

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(2009). Alignment of protein mass spectrometry data by integrated Markov chain shifting method. Statistics and Its Interface.

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