The Canadian Journal of Statistics is an international statistics forum for theoreticians and practitioners alike. The official journal of the Statistical Society of Canada, our innovative, impactful papers tackle important problems across a wide range of statistical disciplines. We invite original statistics papers that make broad points of interest to many readers.

Articles

Research Article
Open access

Robust causal inference for point exposures with missing confounders

Alexander W. Levis, Rajarshi Mukherjee, Rui Wang, Sebastien Haneuse, 
  •  19 September 2024
Research Article

Efficient semiparametric estimation in two‐sample comparison via semisupervised learning

Tao Tan, Shuyi Zhang, Yong Zhou, 
  •  3 September 2024
Research Article

Distributed learning for kernel mode–based regression

Tao Wang, 
  •  3 September 2024
Research Article
Open access

A new copula regression model for hierarchical data

Talagbe Gabin Akpo, Louis-Paul Rivest, 
  •  30 August 2024
Research Article
Open access

Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models

Omar Vazquez, Bin Nan, 
  •  21 August 2024
More articles

The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.

Beyond kappa: A review of interrater agreement measures

Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney, Debajyoti Sinha, 
  •  3-23
  •  18 December 2008

Negative binomial and mixed Poisson regression

Jerald F. Lawless, 
  •  209-225
  •  September 1987

A new class of multivariate skew distributions with applications to bayesian regression models

Sujit K. Sahu, Dipak K. Dey, Márcia D. Branco, 
  •  129-150
  •  18 December 2008

Small area estimation of poverty indicators

Isabel Molina, J. N. K. Rao, 
  •  369-385
  •  17 March 2010

Post-selection inference for urn:x-wiley:1708945X:media:cjs11313:cjs11313-math-0002-penalized likelihood models

Jonathan Taylor, Robert Tibshirani, 
  •  41-61
  •  6 March 2017
More articles
Open access

High‐dimensional model averaging for quantile regression

Jinhan Xie, Xianwen Ding, Bei Jiang, Xiaodong Yan, Linglong Kong, 
Open access

Weighted Bayesian bootstrap for scalable posterior distributions

Michael A. Newton, Nicholas G. Polson, Jianeng Xu, 
Open access

Identifiability constraints in generalized additive models

Alex Stringer, 
Open access

Censored autoregressive regression models with Student-t innovations

Katherine A. L. Valeriano, Fernanda L. Schumacher, Christian E. Galarza, Larissa A. Matos, 
Open access

PCA Rerandomization

Hengtao Zhang, Guosheng Yin, Donald B. Rubin, 

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