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

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	16
Nonparametric simulation extrapolation for measurement‐error models	14
A calibration method to stabilize estimation with missing data	9
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	9
Volatility analysis for the GARCH‐Itô model with option data	9
Divide and conquer for accelerated failure time model with massive time‐to‐event data	8
Missing data analysis with sufficient dimension reduction	8
Optimal subsampling for large‐sample quantile regression with massive data	7
Football group draw probabilities and corrections	7
Semiparametric estimation for the functional additive hazards model	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
	6
An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Multiple change‐point detection for regression curves	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	5
A tale of two variances	5
	5
On asymptotic approximation of ratio models for weakly dependent sequences	5

Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
Integrating information from existing risk prediction models with no model details	4
Causal inference: Critical developments, past and future	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
True and false discoveries with independent and sequential e‐values	4
Asymptotic independence in more than two dimensions and its implications on risk management	4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	4
The quantile‐based classifier with variable‐wise parameters	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
D. A. S. Fraser: From structural inference to asymptotics	4
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
A framework for incorporating behavioural change into individual‐level spatial epidemic models	3
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	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
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Smoothed model‐assisted small area estimation of proportions	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
Issue Information	3
Inducement of population sparsity	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	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
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
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
Balanced longitudinal data clustering with a copula kernel mixture model	2
	2
	2
	2
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
The EAS approach for graphical selection consistency in vector autoregression models	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
Censored autoregressive regression models with Student‐t innovations	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features	2
Life history analysis with multistate models: A review and some current issues	2
Issue Information	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
High‐dimensional model averaging for quantile regression	2