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White noise testing using wavelets Early View

  • Journal: Stat
  • Authors: Guy P. Nason, Delyan Savchev
  • Published Date: Dec 04, 2014

Testing whether a time series is consistent with white noise is an important task within time series analysis and for model fitting and criticism via residual diagnostics. We introduce...

Correcting for non‐ignorable missingness in smoking trends Early View

  • Journal: Stat
  • Authors: Juho Kopra, Tommi Härkänen, Hanna Tolonen, Juha Karvanen
  • Published Date: Jan 29, 2015

Data missing not at random (MNAR) are a major challenge in survey sampling. We propose an approach based on registry data to deal with non‐ignorable missingness in health examination...

Modern perspectives on statistics for spatio‐temporal data Early View

  • Journal: WIREs Computational Statistics
  • Authors: Christopher K. Wikle
  • Published Date: Nov 20, 2014

Spatio‐temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially explicit processes that evolve over time....

The role of simulations in econometrics pedagogy Early View

  • Journal: WIREs Computational Statistics
  • Authors: Anton Bekkerman
  • Published Date: Dec 02, 2014

This article assesses the role of simulation methods in econometrics pedagogy. Technological advances have increased researchers' abilities to use simulation methods and have contributed...

Variable selection in the presence of missing data: imputation‐based methods Early View

  • Journal: WIREs Computational Statistics
  • Authors: Yize Zhao, Qi Long
  • Published Date: May 24, 2017

Variable selection plays an essential role in regression analysis as it identifies important variables that are associated with outcomes and is known to improve predictive accuracy of...

A survey on theoretical advances of community detection in networks Early View

  • Journal: WIREs Computational Statistics
  • Authors: Yunpeng Zhao
  • Published Date: Jun 14, 2017

Real‐world networks usually have community structure, that is, nodes are grouped into densely connected communities. Community detection is one of the most popular and best‐studied...

Post‐selection inference for 1 ‐penalized likelihood models Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Jonathan Taylor, Robert Tibshirani
  • Published Date: Mar 06, 2017

Abstract We present a new method for post‐selection inference for ℓ 1 ...

Big data and partial least‐squares prediction Early View

  • Journal: Canadian Journal of Statistics
  • Authors: R. Dennis Cook, Liliana Forzani
  • Published Date: Apr 07, 2017

Abstract We give a commentary on the challenges of big data for Statistics. We then narrow our discussion to one of those challenges: dimension reduction....

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and 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.