Statistical Analysis and Data Mining, Volume 10

Volume 10, Number 1, February 2017

CLADAG 2015 Special Issue: Selected Papers on Classification and Data Analysis
Editorial

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  Paolo Giudici, Francesca Greselin, Thomas Brendan Murphy, Carla Rampichini:
  CLADAG 2015 special issue: Selected papers on classification and data analysis. 5

Original Articles

• 
  Giancarlo Ragozini, Francesco Palumbo, Maria Rosaria D'Esposito:
  Archetypal analysis for data-driven prototype identification. 6-20
• 
  Tonio Di Battista, Francesca Fortuna:
  Functional confidence bands for lichen biodiversity profiles: A case study in Tuscany region (central Italy). 21-28
• 
  Fulvia Pennoni, Isabella Romeo:
  Latent Markov and growth mixture models for ordinal individual responses with covariates: A comparison. 29-39
• 
  Corrado Loglisci, Donato Malerba:
  Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. 40-53

Review

• 
  Laura Parisi:
  Dynamic hierarchical models for monetary transmission. 54-71

Volume 10, Number 2, April 2017

CLADAG 2015 Special Issue: Selected Papers on Classification and Data Analysis

• 
  Mia Hubert, Tim Verdonck, Özlem Yorulmaz:
  Fast robust SUR with economical and actuarial applications. 77-88
• 
  Francesco Giordano, Michele La Rocca, Maria Lucia Parrella:
  Clustering complex time-series databases by using periodic components. 89-106

SDM 2015 Special Issue: Selected Papers Presented at the SIAM International Conference on Data Mining (Part I)

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  Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
  Legislative prediction with dual uncertainty minimization from heterogeneous information. 107-120
• 
  Chen Chen, Hanghang Tong:
  On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. 121-135
• 
  Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
  Forecasting rare disease outbreaks from open source indicators. 136-150

Volume 10, Number 3, June 2017

CoDA 2016 Special Issue: Selected Papers from the Conference on Data Analysis 2016 - Part I
Original Articles

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  Bruce Bugbee, Caleb Phillips, Hilary Egan, Ryan Elmore, Kenny Gruchalla, Avi Purkayastha:
  Prediction and characterization of application power use in a high-performance computing environment. 155-165
• 
  David H. Collins, Brian P. Weaver, Michael S. Hamada:
  Panning for gold: Enhancing the precision of sensitivity test data. 166-181
• 
  Alexander D. Bolton, Christine M. Anderson-Cook:
  APT malware static trace analysis through bigrams and graph edit distance. 182-193

Volume 10, Number 4, August 2017

CoDA 2016 Special Issue: Selected Papers from the Conference on Data Analysis 2016 - Part II
Original Articles

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  Katherine M. Simonson, R. Derek West, Ross L. Hansen, Thomas E. LaBruyere III, Mark H. Van Benthem:
  A statistical approach to combining multisource information in one-class classifiers. 199-210
• 
  James Theiler, Beate G. Zimmer:
  Selecting the selector: Comparison of update rules for discrete global optimization. 211-229
• 
  Ryan Nora, Jayson Luc Peterson, Brian K. Spears, John Everett Field, Scott Brandon:
  Ensemble simulations of inertial confinement fusion implosions. 230-237

Volume 10, Number 5, October 2017

CoDA 2016 Special Issue: Selected Papers from the Conference on Data Analysis 2016 - Part III
Original Articles

• 
  Paul G. Constantine, Alireza Doostan:
  Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model. 243-262
• 
  Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang:
  Comparative study of clustering techniques for real-time dynamic model reduction. 263-276
• 
  Carène Larmat, Monica Maceira, David M. Higdon, Dale N. Anderson:
  Joining statistics and geophysics for assessment and uncertainty quantification of three-dimensional seismic Earth models. 277-289
• 
  Giuliana Pallotta, Goran Konjevod, Jose Cadena, Phan Nguyen:
  Context-aided analysis of community evolution in networks. 290-311
• 
  Andrew G. Salinger, Paul G. Constantine, John N. Shadid, Timothy Wildey:
  Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces. 312-325
• 
  Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, Ting Chen:
  Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. 326-342
• 
  Diane Oyen, Blake Anderson, Kari Sentz, Christine M. Anderson-Cook:
  Order priors for Bayesian network discovery with an application to malware phylogeny. 343-358

Volume 10, Number 6, December 2017

Original Articles

• 
  Fei Tang, Hemant Ishwaran:
  Random forest missing data algorithms. 363-377
• 
  Chang Xu, Sounak Chakraborty:
  Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis. 378-392
• 
  Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci:
  A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. 393-409
• 
  Livio Fenga:
  A wavelet threshold denoising procedure for multimodel predictions: An application to economic time series. 410-421
• 
  Bin Li, Qingzhao Yu:
  A nonparametric test of independence between 2 variables. 422-435
• 
  Stephanie Aerts, Ines Wilms:
  Cellwise robust regularized discriminant analysis. 436-447