Peihua Qiu
págs. 283-284
Orthogonalizing EM: A Design-Based Least Squares Algorithm.
Shifeng Xiong, Bin Dai, Jared Huling, Peter Z.G. Qian
págs. 285-293
Speeding Up Neighborhood Search in Local Gaussian Process Prediction.
Robert B. Gramacy, Benjamin Haaland
págs. 294-303
A Bootstrap Metropolis–Hastings Algorithm for Bayesian Analysis of Big Data.
Faming Liang, Jinsu Kim, Qifan Song
págs. 304-318
Stefano Castruccio, Marc G. Genton
págs. 319-328
Partitioning a Large Simulation as It Runs.
Kary Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens
págs. 329-340
High-Performance Kernel Machines With Implicit Distributed Optimization and Randomization.
Haim Avron, Vikas Sindhwani
págs. 341-349
Statistical Learning of Neuronal Functional Connectivity.
Chunming Zhang, Yi Chai, Xiao Guo, Muhong Gao, David Devilbiss, Zhengjun Zhang
págs. 350-359
Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework.
Donggeng Xia, Shawn Mankad, George Michailidis
págs. 360-370
Discovering the Nature of Variation in Nonlinear Profile Data.
Zhenyu Shi, Daniel W. Apley, George C. Runger
págs. 371-382
Yukun Zhang, Xuewen Lu, Anthony F. Desmond
págs. 383-392
Online Updating of Statistical Inference in the Big Data Setting.
Elizabeth D. Schifano, Jing Wu, Chun Wang, Jun Yan, Ming-Hui Chen
págs. 393-403
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