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

Article	Citations
	33
Volatility analysis for the GARCH‐Itô model with option data	19
A calibration method to stabilize estimation with missing data	11
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	11
Two‐stage cluster samples with judgment post‐stratification	10
Divide and conquer for accelerated failure time model with massive time‐to‐event data	10
Missing data analysis with sufficient dimension reduction	10
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
Nonparametric simulation extrapolation for measurement‐error models	9
Football group draw probabilities and corrections	9
A new test for high‐dimensional regression coefficients in partially linear models	8
A modified expectation‐maximization algorithm for latent Gaussian graphical model	7
Regression model selection via log‐likelihood ratio and constrained minimum criterion	7
Optimal subsampling for large‐sample quantile regression with massive data	7
Testing normality of spatially indexed functional data	6
	6
Reflections on Bayesian inference and Markov chain Monte Carlo	6
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
	5
	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
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
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
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
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
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
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
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	2