upcoming articles

–> Rayleigh Lei, Sunrit Chakraborty, and XuanLong Nguyen. 2023. Modeling tree-based Mixtures of Probability Simplices.

–> Rayleigh Lei and Abel Rodriguez. 2023. Logistic Unfolding Models for Binary Preference Data.

–> Rayleigh Lei and XuanLong Nguyen. 2023. Modeling Random Directions of Changes in Simplex-valued Data. Submitted to Statistical Modelling. https://arxiv.org/abs/2310.19985.

journal articles

–> Rayleigh Lei and Abel Rodriguez. 2023. A Novel Class of Unfolding Models for Binary Preference Data. Under minor revision for Political Analysis. https://arxiv.org/abs/2308.16288.

–> Rayleigh Lei and Abel Rodriguez. 2023. Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court. Under major revision for Journal of the Royal Statistical Society. ​​https://arxiv.org/abs/2305.19380.

–> Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:282-292, 2023. https://proceedings.mlr.press/v216/chakraborty23a.html.

–> Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, and Ding Zhao. 2022. Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions, Transportation Research Part C: Emerging Technologies, Volume 142, 103768, https://doi.org/10.1016/j.trc.2022.103768.

–> Rayleigh Lei, Andrew Gelman, and Yair Ghitza. 2017. The 2008 Election: A Preregistered Replication Analysis. Statistics and Public Policy, 4 (1), 1-8. https://doi.org/10.1080/2330443X.2016.1277966.

dissertation

–> Modeling Simplex-value Data and Latent Structures. 2022. https://deepblue.lib.umich.edu/handle/2027.42/174205.