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 2021-11-01 to 2025-11-01.)

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	14
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	13
Volatility analysis for the GARCH‐Itô model with option data	12
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	12
A calibration method to stabilize estimation with missing data	11
Missing data analysis with sufficient dimension reduction	9
Nonparametric simulation extrapolation for measurement‐error models	9
Divide and conquer for accelerated failure time model with massive time‐to‐event data	9
Semiparametric estimation for the functional additive hazards model	8
Football group draw probabilities and corrections	7
Optimal subsampling for large‐sample quantile regression with massive data	7
	7
A new test for high‐dimensional regression coefficients in partially linear models	7
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Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	6
Regression model selection via log‐likelihood ratio and constrained minimum criterion	6
A new class of asymptotic maximin distance Latin hypercube designs	6
	6
Estimating design operating characteristics in Bayesian adaptive clinical trials	6
Reflections on Bayesian inference and Markov chain Monte Carlo	6
Objective model selection with parallel genetic algorithms using an eradication strategy	5
Multiple change‐point detection for regression curves	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5

	5
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	5
Integrating information from existing risk prediction models with no model details	4
True and false discoveries with independent and sequential e‐values	4
The quantile‐based classifier with variable‐wise parameters	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
Cluster analysis with regression of non‐Gaussian functional data on covariates	4
D. A. S. Fraser: From structural inference to asymptotics	4
Causal inference: Critical developments, past and future	4
A tale of two variances	4
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising	4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	4
On asymptotic approximation of ratio models for weakly dependent sequences	4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Issue Information	3
Inducement of population sparsity	3
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
Better experimental design by hybridizing binary matching with imbalance optimization	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	3
Life history analysis with multistate models: A review and some current issues	3
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
Censored autoregressive regression models with Student‐t innovations	2
Bayesian instrumental variable estimation in linear measurement error models	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
On the correlation analysis of stocks with zero returns	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
Robust joint modelling of sparsely observed paired functional data	2
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
High‐dimensional model averaging for quantile regression	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Smoothed model‐assisted small area estimation of proportions	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
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Dynamic treatment regimes with interference	2
Issue Information	2
Issue Information	2
	2

A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
A framework for incorporating behavioural change into individual‐level spatial epidemic models	2
Empirical‐process‐based specification tests for diffusion models	1
Optimal relevant subset designs in nonlinear models	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models	1
Reducing bias due to misclassified exposures using instrumental variables	1
Reproducing kernel‐based functional linear expectile regression	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Canadian contributions to environmetrics	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Doubly robust criterion for causal inference	1
Issue Information	1
From regression rank scores to robust inference for censored quantile regression	1
	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Issue Information	1
A conversation with Nancy Reid	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
Doubly robust weighted composite quantile regression based on SCAD‐L₂	1
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Issue Information	1
Covid‐19‐related content in The Canadian Journal of Statistics	1
Adaptive estimation for functional data: Using a framelet block‐thresholding method	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Rank‐based estimation of propensity score weights via subclassification	1
Estimation in a general mixture of Markov jump processes	1
Issue Information	1
Fused mean structure learning in data integration with dependence	1
The linear Lasso: A location model approach	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Restricted Tweedie stochastic block models	1