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 2022-08-01 to 2026-08-01.)
ArticleCitations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models18
Divide and conquer for accelerated failure time model with massive time‐to‐event data15
A calibration method to stabilize estimation with missing data10
Volatility analysis for the GARCH‐Itô model with option data10
Bayesian clustering of multivariate extremes9
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models8
Nonparametric simulation extrapolation for measurement‐error models8
Semiparametric estimation for the functional additive hazards model8
Regression model selection via log‐likelihood ratio and constrained minimum criterion7
Football group draw probabilities and corrections7
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Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests6
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling6
Detecting communities when order and direction matter in social network analysis6
Acknowledgement of Referees' Services Remerciements aux membres des jurys5
An SIR‐based Bayesian framework for COVID‐19 infection estimation5
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Objective model selection with parallel genetic algorithms using an eradication strategy5
A tale of two variances5
A new class of asymptotic maximin distance Latin hypercube designs5
Matrix compatibility and correlation mixture representation of generalized Gini's gamma4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration4
A partial envelope approach for modelling multivariate spatial‐temporal data4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning4
Asymptotic theory in bipartite graph models with a growing number of parameters4
Multiple change‐point detection for regression curves4
The quantile‐based classifier with variable‐wise parameters4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails4
True and false discoveries with independent and sequential e‐values4
Modified F ‐tests for assessing tree radial growth under linear‐circular regression models with correlated errors: A comprehensive toolbox rooted in G. E3
A high‐dimensional inverse norm sign test for two‐sample location problems3
Extremile scalar‐on‐function regression3
Issue Information3
Issue Information3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality3
Nonlinear permuted Granger causality3
Dynamic survival risk prediction with time‐varying high‐dimensional images3
Inducement of population sparsity3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning3
Asymptotic independence in more than two dimensions and its implications on risk management3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data2
A multivariate Poisson model based on a triangular comonotonic shock construction2
Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints2
Acknowledgement of referees' services remerciements aux membres des jurys2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables2
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Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring2
Issue Information2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments2
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features2
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The EAS approach for graphical selection consistency in vector autoregression models2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification2
Robust estimation of loss‐based measures of model performance under covariate shift2
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Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event2
Clustering and semi‐supervised classification for clickstream data via mixture models2
Smoothed model‐assisted small area estimation of proportions2
A framework for incorporating behavioural change into individual‐level spatial epidemic models2
On the correlation analysis of stocks with zero returns2
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A class of directed acyclic graphs with mixed data types in mediation analysis2
Balanced longitudinal data clustering with a copula kernel mixture model2
Stagewise crop yield prediction with multisource functional indices2
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