Paper of the Month
Once a month during the academic year our faculty will select a paper which we encourage our students to read and discuss. Papers featured in this section should be generally understood by graduate students, and will be selected either because of their impact, or historical value, or because they contain useful (perhaps overlooked) techniques or results.
Paper of the Month: October 2023
Statistical Hypothesis from the view point of Fisher, Jeffreys and Neyman: Agreements and Disagreements
[Read More]Paper of the Month: April 2023
Meng, X. L. (1994). Multiple-Imputation Inferences with Uncongenial Sources of Input . Statistical Science, 538-558.
[Read More]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.
[Read More]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.
[Read More]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.
[Read More]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.
[Read More]Paper of the Month: March 2022
Chib, S., (1995). Marginal Likelihood From the Gibbs Output. Journal of the American Statistical Association, 90, 1313-1321.
[Read More]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.
[Read More]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.
[Read More]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.
[Read More]Paper of the Month: September 2021
Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3), 581-592., Cambridge, U.K., 1998.
[Read More]Paper of the Month: April 2021
Benjamini, Y. (2020). Selective Inference: The Silent Killer of Replicability. Harvard Data Science Review, 2(4).
[Read More]Paper of the Month: February 2021
Bickel, P.J. and Li, B. (2006) Regularization in statistics. Test 15, 271–344.
[Read More]Paper of the Month: December 2020
Dirk Eddelbuettel and Conrad Sanderson(2014) RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Computational Statistics and Data Analysis, 2014, 71, March, pages 1054- 1063.
[Read More]Paper of the Month: October 2020
Bollerslev, T. (1986) Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31, 307–327.
[Read More]Paper of the Month: May 2020
Prentice, R. L. (1986) A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika, 73(1), 1-11.
[Read More]Paper of the Month: February 2020
Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004) Least angle regression. The Annals of Statistics, 32, 407–499.
[Read More]Paper of the Month: November 2019
Albert, J. H., & Chib, S. (1993). Bayesian Analysis of Binary and Polychotomous Response Data, Journal of the American Statistical Association, 88(422), 669-679
[Read More]Paper of the Month: October 2019
A. Azzalini and A. Dalla-Valle (1996). The Multivariate Skew Normal Distribution, Biometrika, Volume 83, Number 4, 715-726.
[Read More]Paper of the Month: September 2019
Thomas S. Ferguson (1973). A Bayesian Analysis of Some Nonparametric Problems, Annals of Statistics, Volume 1, Number 2 (1973), 209-230.
[Read More]Paper of the Month: April 2019
Shuo-Yen Robert Li (1980). A Martingale Approach to the Study of Occurrence of Sequence Patterns in Repeated Experiments, Annals of Probability, 8(6), 1171-1176.
[Read More]Paper of the Month: March 2019
Woodroofe, M. (1977). Second Order Approximations for Sequential Point and Interval Estimation. Annals of Statistics, 5, 984-995.
[Read More]Paper of the Month: February 2019
Stein, C. (1981), Estimation of the Mean of a Multivariate Normal Distribution, The Annals of Statistics, 9(6), 1135-1151.
[Read More]Paper of the Month: December 2018
Chen, L.H.Y. Poisson Approximation for Dependent Trials. The Annals of Probability, 1975, Vol. 3, 534-545.
[Read More]Paper of the Month: November 2018
Liang, K. Y., & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22.
[Read More]Paper of the Month: October 2018
Once a month during the academic year, the statistics faculty select a paper for our students to read and discuss. Papers are selected based on their impact or historical value, or because they contain useful techniques or results. Notes preparer: Haim Bar The Expectation Maximization (EM) algorithm was introduced by Dempster, Laird, and Rubin in […]
[Read More]Paper of the Month: September 2018
Golub, G. H., Heath, M., & Wahba, G. (1979). Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter. Technometrics, 21(2), 215–223. https://doi.org/10.2307/1268518
[Read More]Paper of the Month: May 2018
Once a month during the academic year, the statistics faculty select a paper for our students to read and discuss. Papers are selected based on their impact or historical value, or because they contain useful techniques or results. Notes preparer: Haim Bar The last paper of the month for the academic year appeared in the […]
[Read More]Paper of the Month: March and April 2018
Once a month during the academic year, the statistics faculty select a paper for our students to read and discuss. Papers are selected based on their impact or historical value, or because they contain useful techniques or results. Notes preparer: Jun Yan Even an undergraduate student taking a regression course knows how to do model […]
[Read More]Paper of the Month: February 2018
Hoeffding, W., “A Class of Statistics with Asymptotically Normal Distribution,” The Annals of Mathematical Statistics, 19 (3) 293 – 325, 1948.
[Read More]Paper of the Month: December 2017 and January 2018
Benjamini, Y. and Hochberg, Y. (1995), Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological), 57: 289-300.
[Read More]Paper of the Month: November 2017
Efron B., 1979, Bootstrap Methods: Another Look at the Jackknife, Annals of Statistics Vol. 7, No. 1, 1-26
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