Technometrics: A journal of statistics for the physical, chemical and engineering sciences

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  Año 2016, Vol. 58, Número 3

  • Big Data? More Challenges!

    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

    

  • Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature.

    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

    

  • Variable Selection in a Log–Linear Birnbaum–Saunders Regression Model for High-Dimensional Survival Data via the Elastic-Net and Stochastic EM.

    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