Statistical Analysis and Data Mining

Table of Contents

Statistical Analysis and Data Mining - Early View Articles

${pageCtx.sharedData.issuePages}

ORIGINAL ARTICLES

Dissimilarity measure for ranking data via mixture of copulae

  • Author: Andrea Bonanomi, Marta Nai Ruscone, Silvia A. Osmetti
  • Pub Online: Feb 04, 2019
  • DOI: 10.1002/sam.11402 (p )

Research Articles

Materials data analytics for 9% Cr family steel

  • Author: Vyacheslav N. Romanov, Narayanan Krishnamurthy, Amit K. Verma, Laura S. Bruckman, Roger H. French, Jennifer L.W. Carter, Jeffrey A. Hawk
  • Pub Online: Feb 15, 2019
  • DOI: 10.1002/sam.11406 (p )

How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis

  • Author: Christine M. Anderson‐Cook, Kary L. Myers, Lu Lu, Michael L. Fugate, Kevin R. Quinlan, Norma Pawley
  • Pub Online: Feb 15, 2019
  • DOI: 10.1002/sam.11404 (p )

Research Article

Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers

  • Author: Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen
  • Pub Online: Feb 19, 2019
  • DOI: 10.1002/sam.11407 (p )

RESAERCH ARTICLES

Online detection of financial time series peaks and troughs: A probability‐based approach

  • Author: Riccardo Bramante, Silvia Facchinetti, Diego Zappa
  • Pub Online: Mar 18, 2019
  • DOI: 10.1002/sam.11411 (p )

Research Articles

Synthesizing simulation and field data of solar irradiance

  • Author: Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang
  • Pub Online: May 07, 2019
  • DOI: 10.1002/sam.11414 (p )

Optimal transport, mean partition, and uncertainty assessment in cluster analysis

  • Author: Jia Li, Beomseok Seo, Lin Lin
  • Pub Online: May 14, 2019
  • DOI: 10.1002/sam.11418 (p )

Multilevel logistic cluster‐weighted model for outcome evaluation in health care

  • Author: Paolo Berta, Veronica Vinciotti
  • Pub Online: Jun 06, 2019
  • DOI: 10.1002/sam.11421 (p )

Enabling immersive engagement in energy system models with deep learning

  • Author: Bruce Bugbee, Brian W. Bush, Kenny Gruchalla, Kristin Potter, Nicholas Brunhart‐Lupo, Venkat Krishnan
  • Pub Online: Jun 13, 2019
  • DOI: 10.1002/sam.11419 (p )

Interactive volumetric segmentation for textile micro‐tomography data using wavelets and nonlocal means

  • Author: J. Michael L. MacNeil, Daniela M. Ushizima, Francesco Panerai, Nagi N. Mansour, Harold S. Barnard, Dilworth Y. Parkinson
  • Pub Online: Jun 20, 2019
  • DOI: 10.1002/sam.11429 (p )

Bayesian variable selection for logistic regression

  • Author: Yiqing Tian, Howard D. Bondell, Alyson Wilson
  • Pub Online: Jun 27, 2019
  • DOI: 10.1002/sam.11428 (p )

An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm

  • Author: Vahid Rezaei Tabar, Hamid Zareifard, Selva Salimi, Dariusz Plewczynski
  • Pub Online: Jul 17, 2019
  • DOI: 10.1002/sam.11430 (p )

Sequential optimal positioning of mobile sensors using mutual information

  • Author: Kathleen Schmidt, Ralph C. Smith, Jason Hite, John Mattingly, Yousry Azmy, Deepak Rajan, Ryan Goldhahn
  • Pub Online: Jul 19, 2019
  • DOI: 10.1002/sam.11431 (p )

ORIGINAL ARTICLES

Comparative study of clustering techniques for real‐time dynamic model reduction

  • Author: Emilie Purvine, Eduardo Cotilla‐Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang
  • Pub Online: Aug 24, 2017
  • DOI: 10.1002/sam.11352 (p )

Joining statistics and geophysics for assessment and uncertainty quantification of three‐dimensional seismic Earth models

  • Author: Carène Larmat, Monica Maceira, David M. Higdon, Dale N. Anderson
  • Pub Online: Aug 29, 2017
  • DOI: 10.1002/sam.11353 (p )
Page:   1 2 Next

Related Topics

Related Publications

Related Content

Site Footer

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.