Liang, K. Y., & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22.

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 […]

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

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 […]

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 […]

Hoeffding, W., “A Class of Statistics with Asymptotically Normal Distribution,” The Annals of Mathematical Statistics, 19 (3) 293 – 325, 1948.

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.

Efron B., 1979, Bootstrap Methods: Another Look at the Jackknife, Annals of Statistics Vol. 7, No. 1, 1-26