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 2021-06-01 to 2025-06-01.)

Article	Citations
	33
Volatility analysis for the GARCH‐Itô model with option data	19
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	11
A calibration method to stabilize estimation with missing data	11
Missing data analysis with sufficient dimension reduction	10
Two‐stage cluster samples with judgment post‐stratification	10
Divide and conquer for accelerated failure time model with massive time‐to‐event data	10
Nonparametric simulation extrapolation for measurement‐error models	9
Football group draw probabilities and corrections	9
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	9
Semiparametric estimation for the functional additive hazards model	9
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	9
A new test for high‐dimensional regression coefficients in partially linear models	8
Optimal subsampling for large‐sample quantile regression with massive data	7
A modified expectation‐maximization algorithm for latent Gaussian graphical model	7
Regression model selection via log‐likelihood ratio and constrained minimum criterion	7
Testing normality of spatially indexed functional data	6
	6
Reflections on Bayesian inference and Markov chain Monte Carlo	6
	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
Estimating design operating characteristics in Bayesian adaptive clinical trials	5
	5
A new class of asymptotic maximin distance Latin hypercube designs	5

Authors' corrigenda/corrections des auteurs on synthetic data method to incorporate external information into a current study	5
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Synthetic estimation for the complier average causal effect	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
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
Best approach direction for spherical random variables	4
	4
A tale of two variances	4
Multiple change‐point detection for regression curves	4
The quantile‐based classifier with variable‐wise parameters	4
Cluster analysis with regression of non‐Gaussian functional data on covariates	4
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	4
On asymptotic approximation of ratio models for weakly dependent sequences	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
Continuum centroid classifier for functional data	4
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	4
Clustering and semi‐supervised classification for clickstream data via mixture models	3
Better experimental design by hybridizing binary matching with imbalance optimization	3
Causal inference: Critical developments, past and future	3
Asymptotic theory in bipartite graph models with a growing number of parameters	3
Issue Information	3
Estimation of design‐based mean squared error of a small area mean model‐based estimator under a nested error linear regression model	3
Inducement of population sparsity	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Integrating information from existing risk prediction models with no model details	3
True and false discoveries with independent and sequential e‐values	3
Assessing the calibration of subdistribution hazard models in discrete time	3
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
D. A. S. Fraser: From structural inference to asymptotics	3
Issue Information	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
Subspace clustering for panel data with interactive effects	2
	2
Bayesian instrumental variable estimation in linear measurement error models	2
High‐dimensional model averaging for quantile regression	2
Dynamic treatment regimes with interference	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
Smoothed model‐assisted small area estimation of proportions	2
On the correlation analysis of stocks with zero returns	2
Bayesian spline smoothing with ambiguous penalties	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
	2
Censored autoregressive regression models with Student‐t innovations	2

	2
Robust estimation and variable selection for function‐on‐scalar regression	2
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	2
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	2
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	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
Issue Information	2
Robust joint modelling of sparsely observed paired functional data	2
Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
The EAS approach for graphical selection consistency in vector autoregression models	2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
Life history analysis with multistate models: A review and some current issues	2
Issue Information	1
From regression rank scores to robust inference for censored quantile regression	1
Empirical‐process‐based specification tests for diffusion models	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
The linear Lasso: A location model approach	1
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
A conversation with Nancy Reid	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
	1
Fused mean structure learning in data integration with dependence	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
Hazard regression with noncompactly supported bases	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Issue Information	1
Issue Information	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Adaptive estimation for functional data: Using a framelet block‐thresholding method	1
Estimation in a general mixture of Markov jump processes	1
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	1
Reducing bias due to misclassified exposures using instrumental variables	1
Issue Information	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Canadian contributions to environmetrics	1
Semiparametric additive frailty hazard model for clustered failure time data	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	1
A test for independence via Bayesian nonparametric estimation of mutual information	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Covid‐19‐related content in The Canadian Journal of Statistics	1
Optimal relevant subset designs in nonlinear models	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
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
	1
Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables	1
Reproducing kernel‐based functional linear expectile regression	1
Doubly robust weighted composite quantile regression based on SCAD‐L₂	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
On the spectral coherence between two periodically correlated processes	1
Doubly robust criterion for causal inference	1
Recovery of sums of sparse and dense signals by incorporating graphical structure among predictors	1