OOIR: Observatory of International Research

Papers

(The TQCC of Canadian Journal of Statistics-Revue Canadienne de Statistique is 2. 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
Missing data analysis with sufficient dimension reduction	9
Nonparametric simulation extrapolation for measurement‐error models	9
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
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	8
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	8
Football group draw probabilities and corrections	7
Semiparametric estimation for the functional additive hazards model	7
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
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
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
Estimating design operating characteristics in Bayesian adaptive clinical trials	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5

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
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
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
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
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
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	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