Meng, X. L. (1994). Multiple-Imputation Inferences with Uncongenial Sources of Input . Statistical Science, 538-558.
Paper of the Month
Paper of the Month: March 2023
David M. Blei, Alp Kucukelbir & Jon D. McAuliffe (2017) Variational Inference: A Review for Statisticians, Journal of the American Statistical Association, 112:518, 859-877.
Paper of the Month: October 2022
Ghosh, M., Sinha, B. K. and Mukhopadhyay, N. (1976). Multivariate sequential point estimation. Journal of Multivariate Analysis 6: 281-294.
Paper of the Month: September 2022
Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019). Reconciling modern machine-learning practice and the classical bias–variance trade-off. Proceedings of the National Academy of Sciences, 116(32), 15849-15854.
Paper of the Month: April 2022
Liu, Y., & Xie, J. (2020). Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures Journal of the American Statistical Association, 115(529), 393-402.
Paper of the Month: March 2022
Chib, S., (1995). Marginal Likelihood From the Gibbs Output. Journal of the American Statistical Association, 90, 1313-1321.
Paper of the Month: February 2022
Nozer D. Singpurwalla, Nicholas G. Polson & Refik Soyer (2018), From Least Squares to Signal Processing and Particle Filtering, Technometrics, 60:2, 146-160.
Paper of the Month: November 2021
Bradley Efron (2020) Prediction, Estimation, and Attribution.pdf, Journal of the American Statistical Association, 115:530, 636-655, DOI: 10.1080/01621459.2020.1762613.
Paper of the Month: October 2021
Leon Bottou. Online learning and stochastic approximations. In D Saad, editor, Online Algorithms and Stochastic Approximations. Cambridge University Press, Cambridge, U.K., 1998.
Paper of the Month: September 2021
Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3), 581-592., Cambridge, U.K., 1998.