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 2021-12-01 to 2025-12-01.)

Article	Citations
Divide and conquer for accelerated failure time model with massive time‐to‐event data	15
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	14
Volatility analysis for the GARCH‐Itô model with option data	13
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
Semiparametric estimation for the functional additive hazards model	9
Nonparametric simulation extrapolation for measurement‐error models	9
A new test for high‐dimensional regression coefficients in partially linear models	8
Football group draw probabilities and corrections	8
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Optimal subsampling for large‐sample quantile regression with massive data	7
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	6
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
The quantile‐based classifier with variable‐wise parameters	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	5
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A tale of two variances	5

Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
D. A. S. Fraser: From structural inference to asymptotics	4
Cluster analysis with regression of non‐Gaussian functional data on covariates	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
True and false discoveries with independent and sequential e‐values	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
On asymptotic approximation of ratio models for weakly dependent sequences	4
Multiple change‐point detection for regression curves	4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
Causal inference: Critical developments, past and future	4
Integrating information from existing risk prediction models with no model details	4
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
A high‐dimensional inverse norm sign test for two‐sample location problems	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
On the correlation analysis of stocks with zero returns	3
Issue Information	3
Inducement of population sparsity	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
A framework for incorporating behavioural change into individual‐level spatial epidemic models	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Better experimental design by hybridizing binary matching with imbalance optimization	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
Smoothed model‐assisted small area estimation of proportions	3
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
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A class of directed acyclic graphs with mixed data types in mediation analysis	2
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
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Robust joint modelling of sparsely observed paired functional data	2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Issue Information	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
Bayesian instrumental variable estimation in linear measurement error models	2
Censored autoregressive regression models with Student‐t innovations	2
High‐dimensional model averaging for quantile regression	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables	2
Life history analysis with multistate models: A review and some current issues	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
Dynamic treatment regimes with interference	2
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