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 2021-09-01 to 2025-09-01.)

Article	Citations
	13
Two‐stage cluster samples with judgment post‐stratification	12
Volatility analysis for the GARCH‐Itô model with option data	11
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	10
A calibration method to stabilize estimation with missing data	9
Divide and conquer for accelerated failure time model with massive time‐to‐event data	9
Missing data analysis with sufficient dimension reduction	9
Nonparametric simulation extrapolation for measurement‐error models	9
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	8
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	8
Football group draw probabilities and corrections	7
Semiparametric estimation for the functional additive hazards model	7
Authors' corrigenda/corrections des auteurs on synthetic data method to incorporate external information into a current study	6
	6
Optimal subsampling for large‐sample quantile regression with massive data	6
A new test for high‐dimensional regression coefficients in partially linear models	6
Reflections on Bayesian inference and Markov chain Monte Carlo	6
Testing normality of spatially indexed functional data	6
	6
	6
Regression model selection via log‐likelihood ratio and constrained minimum criterion	6
Estimating design operating characteristics in Bayesian adaptive clinical trials	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	5
A new class of asymptotic maximin distance Latin hypercube designs	5

On asymptotic approximation of ratio models for weakly dependent sequences	4
Best approach direction for spherical random variables	4
The quantile‐based classifier with variable‐wise parameters	4
Cluster analysis with regression of non‐Gaussian functional data on covariates	4
	4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising	4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	4
Multiple change‐point detection for regression curves	4
A tale of two variances	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
Acknowledgement of Referees' Services Remerciements aux membres des jurys	4
Objective model selection with parallel genetic algorithms using an eradication strategy	4
D. A. S. Fraser: From structural inference to asymptotics	3
Causal inference: Critical developments, past and future	3
Inducement of population sparsity	3
Life history analysis with multistate models: A review and some current issues	3
Better experimental design by hybridizing binary matching with imbalance optimization	3
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	3
Asymptotic theory in bipartite graph models with a growing number of parameters	3
Issue Information	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Integrating information from existing risk prediction models with no model details	3
True and false discoveries with independent and sequential e‐values	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
	2
	2
Robust joint modelling of sparsely observed paired functional data	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
	2
Bayesian spline smoothing with ambiguous penalties	2
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
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
Bayesian instrumental variable estimation in linear measurement error models	2
High‐dimensional model averaging for quantile regression	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
A framework for incorporating behavioural change into individual‐level spatial epidemic models	2
On the correlation analysis of stocks with zero returns	2
Smoothed model‐assisted small area estimation of proportions	2
Issue Information	2
Dynamic treatment regimes with interference	2

Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
A multivariate Poisson model based on a triangular comonotonic shock construction	2
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
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	1
	1
Reducing bias due to misclassified exposures using instrumental variables	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Doubly robust weighted composite quantile regression based on SCAD‐L₂	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Canadian contributions to environmetrics	1
Robust estimation and variable selection for function‐on‐scalar regression	1
Semiparametric additive frailty hazard model for clustered failure time data	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Empirical‐process‐based specification tests for diffusion models	1
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models	1
Issue Information	1
Issue Information	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Reproducing kernel‐based functional linear expectile regression	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
Optimal relevant subset designs in nonlinear models	1
Censored autoregressive regression models with Student‐t innovations	1
Issue Information	1
Issue Information	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Estimation in a general mixture of Markov jump processes	1
The linear Lasso: A location model approach	1
A conversation with Nancy Reid	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
Doubly robust criterion for causal inference	1
Fused mean structure learning in data integration with dependence	1
Issue Information	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1