2019 and Beyond
Luo, X., Dasgupta, T., Xie, M., & Liu, R. (2020). Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning. Journal of the Royal Statistical Society: Series B (in press).
Efron, B. (2020). Prediction, Estimation and Attrition (with discussion). Journal of the American Statistical Association (in press).
Xie, M. G., & Zheng, Z. (2020). Homeostasis phenomenon in predictive inference when using a wrong learning model: a tale of random split of data into training and test sets. arXiv preprint arXiv:2003.08989.
Gao, Q., Lai, R. C., Lee, T. C., & Li, Y. (2019). Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models. Technometrics, 1-12.
Gong, R. (2019). Simultaneous Inference Under the Vacuous Orientation Assumption. PMLR 103:225-234
Williams, J. P., Xie, Y., & Hannig, J. (2019). The EAS approach for graphical selection consistency in vector autoregression models. arXiv preprint arXiv:1906.04812.
Neupert, S. D., & Hannig, J. (2019). BFF: Bayesian, Fiducial, Frequentist Analysis of Age Effects in Daily Diary Data. The Journals of Gerontology: Series B.
Cui, Y., & Hannig, J. (2019). Estimation and testing of survival functions via generalized fiducial inference with censored data, with discussion and rejoinder by the authors. Biometrika, 106, 501-518.
Liu, Y., Hannig, J., & Majumder, A. P. (2019). Second-Order Probability Matching Priors for the Person Parameter in Unidimensional IRT Models. Psychometrika, 84(3), 701-718.
Williams, J. P., & Hannig, J. (2019). Nonpenalized variable selection in high-dimensional linear model settings via generalized fiducial inference. The Annals of Statistics, 47(3), 1723-1753.
Shen, J., Liu, R. Y., & Xie, M. G. (2019). iFusion: Individualized Fusion Learning. Journal of the American Statistical Association (in press)