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 2022-05-01 to 2026-05-01.)

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	16
Divide and conquer for accelerated failure time model with massive time‐to‐event data	11
Missing data analysis with sufficient dimension reduction	9
A calibration method to stabilize estimation with missing data	9
Volatility analysis for the GARCH‐Itô model with option data	9
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	8
Nonparametric simulation extrapolation for measurement‐error models	8
Bayesian clustering of multivariate extremes	8
Semiparametric estimation for the functional additive hazards model	7
Football group draw probabilities and corrections	7
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Reflections on Bayesian inference and Markov chain Monte Carlo	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
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	5
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
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Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
A new class of asymptotic maximin distance Latin hypercube designs	5
A tale of two variances	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	4
Multiple change‐point detection for regression curves	4

A partial envelope approach for modelling multivariate spatial‐temporal data	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
Causal inference: Critical developments, past and future	4
Asymptotic independence in more than two dimensions and its implications on risk management	4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
D. A. S. Fraser: From structural inference to asymptotics	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
On the correlation analysis of stocks with zero returns	3
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
Issue Information	3
Inducement of population sparsity	3
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	3
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features	3
Life history analysis with multistate models: A review and some current issues	2
A multivariate Poisson model based on a triangular comonotonic shock construction	2
Issue Information	2
Stagewise crop yield prediction with multisource functional indices	2
Censored autoregressive regression models with Student‐t innovations	2
Acknowledgement of referees' services remerciements aux membres des jurys	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
The EAS approach for graphical selection consistency in vector autoregression models	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
High‐dimensional model averaging for quantile regression	2
Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables	2
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Robust estimation of loss‐based measures of model performance under covariate shift	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
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Smoothed model‐assisted small area estimation of proportions	2