Publications

Xiaomeng Ju, Hyung G. Park, Thaddeus Tarpey (2025). Projection-pursuit Bayesian regression for symmetric matrix predictors . Journal of Multivariate Analysis (in press) (2025).

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Xiaomeng Ju, Hyung G Park, Thaddeus Tarpey (2025). Bayesian scalar-on-network regression with applications to brain functional connectivity. Biometrics (2025).

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Xiaomeng Ju, Matías Salibián-Barrera (2024). Tree-based boosting with functional data. Computational Statistics (2024).

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Xiaomeng Ju (2022). Boosting for regression problems with complex data . PhD Thesis (2022).

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Xiaomeng Ju, Matías Salibián-Barrera (2021). Robust boosting for regression problems. Computational Statistics & Data Analysis 153 (2021).

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Xiaomeng Ju, Yifan Sun, Sharan Vaswani, Mark Schmidt (2019). Accelerating boosting via accelerated greedy coordinate descent. In Optimization for Machine Learning workshop (OPT 2019).

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