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
Volatility analysis for the GARCH‐Itô model with option data	10
A calibration method to stabilize estimation with missing data	10
Bayesian clustering of multivariate extremes	9
Nonparametric simulation extrapolation for measurement‐error models	8
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
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
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
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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
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
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
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
A partial envelope approach for modelling multivariate spatial‐temporal data	4
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
Issue Information	3
Issue Information	3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
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
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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
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
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
Rank‐based estimation of propensity score weights via subclassification	1
A goodness‐of‐fit test for regression models with discrete outcomes	1
Issue Information	1
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	1
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High‐dimensional model averaging for quantile regression	1
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Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Empirical‐process‐based specification tests for diffusion models	1
Censored autoregressive regression models with Student‐t innovations	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Optimal dividends for a NatCat insurer in the presence of a climate tipping point	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
Power spectral density and the brain	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Restricted Tweedie stochastic block models	1
Optimal relevant subset designs in nonlinear models	1
From regression rank scores to robust inference for censored quantile regression	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
Doubly robust criterion for causal inference	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
Bayesian instrumental variable estimation in linear measurement error models	1
Semiparametric and parametric distributional forecasting of univariate time series using non‐Gaussian ARMA models based on D‐vines	1
Issue Information	1
Issue Information	1
A conversation with Nancy Reid	1
Issue Information	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
Editorial	1
Issue Information	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Correction to “A parameter transformation of the anisotropic Matérn covariance function”	1
B‐spline modal estimation under measurement error with deconvolution	1
Efficient multiply robust imputation in the presence of influential units in surveys	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
T‐calibration in semi‐parametric models	1
Optimal subsampling for regression with mixed‐type predictors	1
Robust joint modelling of sparsely observed paired functional data	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Fused mean structure learning in data integration with dependence	1