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 2022-06-01 to 2026-06-01.)

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	16
Divide and conquer for accelerated failure time model with massive time‐to‐event data	13
Volatility analysis for the GARCH‐Itô model with option data	10
Bayesian clustering of multivariate extremes	9
A calibration method to stabilize estimation with missing data	9
Semiparametric estimation for the functional additive hazards model	8
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	8
Nonparametric simulation extrapolation for measurement‐error models	8
Reflections on Bayesian inference and Markov chain Monte Carlo	7
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Football group draw probabilities and corrections	7
Regression model selection via log‐likelihood ratio and constrained minimum criterion	7
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	6
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Matrix compatibility and correlation mixture representation of generalized Gini's gamma	5
A new class of asymptotic maximin distance Latin hypercube designs	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	5
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	5
A tale of two variances	5
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An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Nonlinear permuted Granger causality	4

Asymptotic independence in more than two dimensions and its implications on risk management	4
The quantile‐based classifier with variable‐wise parameters	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
Causal inference: Critical developments, past and future	4
True and false discoveries with independent and sequential e‐values	4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	4
A partial envelope approach for modelling multivariate spatial‐temporal data	4
D. A. S. Fraser: From structural inference to asymptotics	4
Multiple change‐point detection for regression curves	4
A high‐dimensional inverse norm sign test for two‐sample location problems	3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
On the correlation analysis of stocks with zero returns	3
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Inducement of population sparsity	3
Issue Information	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	3
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features	3
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
A framework for incorporating behavioural change into individual‐level spatial epidemic models	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
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Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables	2
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Robust estimation of loss‐based measures of model performance under covariate shift	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
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Smoothed model‐assisted small area estimation of proportions	2
Life history analysis with multistate models: A review and some current issues	2
A multivariate Poisson model based on a triangular comonotonic shock construction	2
Issue Information	2
Stagewise crop yield prediction with multisource functional indices	2
Issue Information	1
Optimal dividends for a NatCat insurer in the presence of a climate tipping point	1
Restricted Tweedie stochastic block models	1
From regression rank scores to robust inference for censored quantile regression	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Canadian contributions to environmetrics	1

Rank‐based estimation of propensity score weights via subclassification	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
Doubly robust criterion for causal inference	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data	1
Bayesian instrumental variable estimation in linear measurement error models	1
Efficient multiply robust imputation in the presence of influential units in surveys	1
Issue Information	1
Correction to “A parameter transformation of the anisotropic Matérn covariance function”	1
T‐calibration in semi‐parametric models	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
Issue Information	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
A conversation with Nancy Reid	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Optimal relevant subset designs in nonlinear models	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
B‐spline modal estimation under measurement error with deconvolution	1
Variable selection in modelling clustered data via within‐cluster resampling	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
A goodness‐of‐fit test for regression models with discrete outcomes	1
Robust joint modelling of sparsely observed paired functional data	1
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	1
Semiparametric and parametric distributional forecasting of univariate time series using non‐Gaussian ARMA models based on D‐vines	1
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Empirical‐process‐based specification tests for diffusion models	1
Estimation in a general mixture of Markov jump processes	1
Fused mean structure learning in data integration with dependence	1
Reducing bias due to misclassified exposures using instrumental variables	1
Issue Information	1
Issue Information	1
High‐dimensional model averaging for quantile regression	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Issue Information	1
Censored autoregressive regression models with Student‐t innovations	1
Editorial	1