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 2021-11-01 to 2025-11-01.)

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	14
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	13
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	12
Volatility analysis for the GARCH‐Itô model with option data	12
A calibration method to stabilize estimation with missing data	11
Divide and conquer for accelerated failure time model with massive time‐to‐event data	9
Missing data analysis with sufficient dimension reduction	9
Nonparametric simulation extrapolation for measurement‐error models	9
Semiparametric estimation for the functional additive hazards model	8
A new test for high‐dimensional regression coefficients in partially linear models	7
	7
Football group draw probabilities and corrections	7
Optimal subsampling for large‐sample quantile regression with massive data	7
	7
Estimating design operating characteristics in Bayesian adaptive clinical trials	6
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
A new class of asymptotic maximin distance Latin hypercube designs	6
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	5
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
Multiple change‐point detection for regression curves	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	5

An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Asymptotic theory in bipartite graph models with a growing number of parameters	4
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	4
On asymptotic approximation of ratio models for weakly dependent sequences	4
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
Integrating information from existing risk prediction models with no model details	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
Cluster analysis with regression of non‐Gaussian functional data on covariates	4
D. A. S. Fraser: From structural inference to asymptotics	4
Causal inference: Critical developments, past and future	4
A tale of two variances	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
Better experimental design by hybridizing binary matching with imbalance optimization	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	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
Life history analysis with multistate models: A review and some current issues	3
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Issue Information	3
Inducement of population sparsity	3
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
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Dynamic treatment regimes with interference	2
Issue Information	2
Issue Information	2
	2
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	2
A framework for incorporating behavioural change into individual‐level spatial epidemic models	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
Censored autoregressive regression models with Student‐t innovations	2
Bayesian instrumental variable estimation in linear measurement error models	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
On the correlation analysis of stocks with zero returns	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
Robust joint modelling of sparsely observed paired functional data	2
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	2
High‐dimensional model averaging for quantile regression	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Smoothed model‐assisted small area estimation of proportions	2

Clustering and semi‐supervised classification for clickstream data via mixture models	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2