Canadian Journal of Statistics-Revue Canadienne de Statistique

Papers
(The TQCC of Canadian Journal of Statistics-Revue Canadienne de Statistique is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
12
Two‐stage cluster samples with judgment post‐stratification12
Volatility analysis for the GARCH‐Itô model with option data11
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models10
Divide and conquer for accelerated failure time model with massive time‐to‐event data9
Missing data analysis with sufficient dimension reduction9
A calibration method to stabilize estimation with missing data9
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models8
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression8
Football group draw probabilities and corrections8
Nonparametric simulation extrapolation for measurement‐error models8
Semiparametric estimation for the functional additive hazards model7
A new test for high‐dimensional regression coefficients in partially linear models7
Reflections on Bayesian inference and Markov chain Monte Carlo6
Regression model selection via log‐likelihood ratio and constrained minimum criterion6
Authors' corrigenda/corrections des auteurs on synthetic data method to incorporate external information into a current study6
6
Optimal subsampling for large‐sample quantile regression with massive data6
6
Testing normality of spatially indexed functional data6
A modified expectation‐maximization algorithm for latent Gaussian graphical model6
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests5
Estimating design operating characteristics in Bayesian adaptive clinical trials5
An SIR‐based Bayesian framework for COVID‐19 infection estimation5
5
A new class of asymptotic maximin distance Latin hypercube designs5
Objective model selection with parallel genetic algorithms using an eradication strategy4
On asymptotic approximation of ratio models for weakly dependent sequences4
Best approach direction for spherical random variables4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails4
Causal inference: Critical developments, past and future4
Multiple change‐point detection for regression curves4
4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration4
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising4
The quantile‐based classifier with variable‐wise parameters4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors4
A tale of two variances4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma4
Acknowledgement of Referees' Services Remerciements aux membres des jurys4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning4
Cluster analysis with regression of non‐Gaussian functional data on covariates4
A high‐dimensional inverse norm sign test for two‐sample location problems3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning3
Subspace clustering for panel data with interactive effects3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality3
D. A. S. Fraser: From structural inference to asymptotics3
Issue Information3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources3
Life history analysis with multistate models: A review and some current issues3
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments3
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression3
Asymptotic theory in bipartite graph models with a growing number of parameters3
Issue Information3
Better experimental design by hybridizing binary matching with imbalance optimization3
Testing normality in any dimension by Fourier methods in a multivariate Stein equation3
Inducement of population sparsity3
Integrating information from existing risk prediction models with no model details3
True and false discoveries with independent and sequential e‐values3
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics2
Smoothed model‐assisted small area estimation of proportions2
A multivariate Poisson model based on a triangular comonotonic shock construction2
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions2
2
Censored autoregressive regression models with Student‐t innovations2
2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification2
The EAS approach for graphical selection consistency in vector autoregression models2
A framework for incorporating behavioural change into individual‐level spatial epidemic models2
Acknowledgement of referees' services remerciements aux membres des jurys2
On the correlation analysis of stocks with zero returns2
Issue Information2
Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier2
High‐dimensional model averaging for quantile regression2
Balanced longitudinal data clustering with a copula kernel mixture model2
Clustering and semi‐supervised classification for clickstream data via mixture models2
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data2
Bayesian spline smoothing with ambiguous penalties2
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event2
2
Robust estimation and variable selection for function‐on‐scalar regression2
A class of directed acyclic graphs with mixed data types in mediation analysis2
Robust estimation of loss‐based measures of model performance under covariate shift2
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