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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....

Dynamic data science and official statistics Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Mary E. Thompson
  • Published Date: May 23, 2017

Abstract Many of the challenges and opportunities of data science have to do with dynamic factors: a growing volume of administrative and commercial data on...

Online updating method with new variables for big data streams Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Chun Wang, Ming‐Hui Chen, Jing Wu, Jun Yan, Yuping Zhang, Elizabeth Schifano
  • Published Date: Aug 09, 2017

Abstract For big data arriving in streams online updating is an important statistical method that breaks the storage barrier and the computational barrier...

Minimax robust active learning for approximately specified regression models Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Rui Nie, Douglas P. Wiens, Zhichun Zhai
  • Published Date: Aug 11, 2017

Abstract We address problems of model misspecification in active learning. We suppose that an investigator will sample training input points (predictors)...

Approximate Bayesian estimation in large coloured graphical Gaussian models Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Qiong Li, Xin Gao, Hélène Massam
  • Published Date: Sep 29, 2017

Abstract Distributed estimation methods have recently been used to compute the maximum likelihood estimate of the precision matrix for large graphical...

Regularization and selection in Gaussian mixture of autoregressive models Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Abbas Khalili, Jiahua Chen, David A. Stephens
  • Published Date: Sep 29, 2017

Abstract Gaussian mixtures of autoregressive models can be adopted to explain heterogeneous behaviour in mean, volatility, and multi‐modality of the...

A nonparametric hypothesis test for heteroscedasticity in multiple regression Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Adriano Z. Zambom, Seonjin Kim
  • Published Date: Sep 29, 2017

Abstract This article presents a new method to test for heteroscedasticity in a general multiple nonparametric regression model. The test statistic is based...

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