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Activity Details

240 Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-347
Computationally Intensive Methods for Estimation and Inference — Contributed Papers
Section on Statistical Computing
Chair(s): Eric Rose, NC State University
2:05 PM An Effecient Method for Quantile Regression Mei Ling Huang, Brock University ; Ramona Rat, Brock University ; Wai Kong Yuen, Brock University
2:20 PM A Novel Exact Method for Significance of Higher Criticism via Steck's Determinant Jeffrey Miecznikowski, SUNY At Buffalo ; Jiefei Wang, SUNY University at Buffalo ; Daniel Gaile , SUNY University at Buffalo ; David Tritchler, SUNY University at Buffalo
2:35 PM Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap Christian Schmid, The Pennsylvania State University ; Bruce Desmarais, The Pennsylvania State University
2:50 PM A Missing Technique for Estimating Univariate Multiple Missing Values-An Advanced Re-sampling Method for Correlated Observations Silvia Sharna, Ball State University ; Mian Adnan, Ball State University ; Rahmatullah Imon, Ball State University
3:05 PM Efficient Solution of Large Fixed Effects Problems with Clustered Standard Errors Thomas Balmat, Duke University ; Jerry Reiter, Department of Statistical Science, Duke University
3:20 PM Maximum Likelihood Versus Alternative Regularized Estimators for Logistic Regression Models Gabriel Ruiz, Department of Statistics, University of California, Riverside ; Subir Ghosh, Department of Statistics, University of California, Riverside
3:35 PM Floor Discussion
 
 
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