OOIR: Observatory of International Research

Papers

(The median citation count of Canadian Journal of Statistics-Revue Canadienne de Statistique is 1. 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.)

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	18
Divide and conquer for accelerated failure time model with massive time‐to‐event data	15
A calibration method to stabilize estimation with missing data	10
Volatility analysis for the GARCH‐Itô model with option data	10
Bayesian clustering of multivariate extremes	9
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	8
Nonparametric simulation extrapolation for measurement‐error models	8
Semiparametric estimation for the functional additive hazards model	8
Regression model selection via log‐likelihood ratio and constrained minimum criterion	7
Football group draw probabilities and corrections	7
	6
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	6
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling	6
Detecting communities when order and direction matter in social network analysis	6
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
A tale of two variances	5
A new class of asymptotic maximin distance Latin hypercube designs	5
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
A partial envelope approach for modelling multivariate spatial‐temporal data	4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
Multiple change‐point detection for regression curves	4

The quantile‐based classifier with variable‐wise parameters	4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	4
True and false discoveries with independent and sequential e‐values	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
Issue Information	3
Issue Information	3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Nonlinear permuted Granger causality	3
Dynamic survival risk prediction with time‐varying high‐dimensional images	3
Inducement of population sparsity	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Asymptotic independence in more than two dimensions and its implications on risk management	3
Modified F ‐tests for assessing tree radial growth under linear‐circular regression models with correlated errors: A comprehensive toolbox rooted in G. E	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
Extremile scalar‐on‐function regression	3
Acknowledgement of referees' services remerciements aux membres des jurys	2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables	2
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Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
Issue Information	2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features	2
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The EAS approach for graphical selection consistency in vector autoregression models	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
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Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
Smoothed model‐assisted small area estimation of proportions	2
A framework for incorporating behavioural change into individual‐level spatial epidemic models	2
On the correlation analysis of stocks with zero returns	2
	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
Stagewise crop yield prediction with multisource functional indices	2
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	2
A multivariate Poisson model based on a triangular comonotonic shock construction	2
Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints	2
Rank‐based estimation of propensity score weights via subclassification	1
Issue Information	1
Issue Information	1
Editorial	1
Issue Information	1
Correction to “A parameter transformation of the anisotropic Matérn covariance function”	1
Efficient multiply robust imputation in the presence of influential units in surveys	1
High‐dimensional model averaging for quantile regression	1

T‐calibration in semi‐parametric models	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Optimal subsampling for regression with mixed‐type predictors	1
Censored autoregressive regression models with Student‐t innovations	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Canadian contributions to environmetrics	1
Estimation in a general mixture of Markov jump processes	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
A goodness‐of‐fit test for regression models with discrete outcomes	1
Optimal relevant subset designs in nonlinear models	1
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	1
	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
Empirical‐process‐based specification tests for diffusion models	1
Doubly robust criterion for causal inference	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Optimal dividends for a NatCat insurer in the presence of a climate tipping point	1
Bayesian instrumental variable estimation in linear measurement error models	1
Issue Information	1
A conversation with Nancy Reid	1
Power spectral density and the brain	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
Restricted Tweedie stochastic block models	1
Issue Information	1
From regression rank scores to robust inference for censored quantile regression	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
B‐spline modal estimation under measurement error with deconvolution	1
Semiparametric and parametric distributional forecasting of univariate time series using non‐Gaussian ARMA models based on D‐vines	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
Issue Information	1
Robust joint modelling of sparsely observed paired functional data	1
Fused mean structure learning in data integration with dependence	1