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 2021-02-01 to 2025-02-01.)

Article	Citations
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players	32
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data	15
	10
Continuum centroid classifier for functional data	9
Issue Information	9
On the spectral coherence between two periodically correlated processes	9
Editorial	7
Distributed sequential estimation procedures	7
Acknowledgement of Referees' Services/ Remerciements aux lecteurs critiques	7
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques	7
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	7
Causal inference: Critical developments, past and future	6
Cluster analysis with regression of non‐Gaussian functional data on covariates	6
A new copula regression model for hierarchical data	6
Sparse estimation of historical functional linear models with a nested group bridge approach	6
Asymptotic theory in bipartite graph models with a growing number of parameters	6
Two‐stage cluster samples with judgment post‐stratification	5
Robust reflections	5
Missing data analysis with sufficient dimension reduction	5
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	5
	5
Issue Information	5
Issue Information	4
Divide and conquer for accelerated failure time model with massive time‐to‐event data	4
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	4

A combined moment equation approach for spatial autoregressive models	4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
Assessing the calibration of subdistribution hazard models in discrete time	4
The Canadian Statistical Sciences Institute 2003–2022	4
A calibration method to stabilize estimation with missing data	4
Nonparametric simulation extrapolation for measurement‐error models	4
Pretest and shrinkage estimators in generalized partially linear models with application to real data	3
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	3
Confidence sequences with composite likelihoods	3
Statistical disease mapping for heterogeneous neuroimaging studies	3
Semiparametric integer‐valued autoregressive models on ℤ	3
True and false discoveries with independent and sequential e‐values	3
Rejoinder: “Statistical disease mapping for heterogeneous neuroimaging studies”	3
Efficient multiple change point detection for high‐dimensional generalized linear models	3
Variable selection in modelling clustered data via within‐cluster resampling	3
D. A. S. Fraser: From structural inference to asymptotics	3
Volatility analysis for the GARCH‐Itô model with option data	3
Machine learning in/for blockchain: Future and challenges	3
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	3
Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches	3
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	3
Inducement of population sparsity	3
Discussion of “Statistical disease mapping for heterogeneous neuroimaging studies”	3
Cellwise outlier detection with false discovery rate control	3
Fast and scalable inference for spatial extreme value models	3
Integrating information from existing risk prediction models with no model details	3
A grouped beta process model for multivariate resting‐state EEG microstate analysis on twins	2
Special Issue on Neuroimaging data analysis: Guest Editors' Introduction	2
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	2
The linear Lasso: A location model approach	2
Semiparametric additive frailty hazard model for clustered failure time data	2
Better experimental design by hybridizing binary matching with imbalance optimization	2
Additive hazard regression of event history studies with intermittently measured covariates	2
Interim analysis of sequential estimation‐adjusted urn models with sample size re‐estimation	2
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	2
A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease	2
Estimation of design‐based mean squared error of a small area mean model‐based estimator under a nested error linear regression model	2
A high‐dimensional inverse norm sign test for two‐sample location problems	2
Contrast tests for groups of functional data	2
Issue Information	2
Segment regression model average with multiple threshold variables and multiple structural breaks	2
Football group draw probabilities and corrections	2
Statistical data integration using multilevel models to predict employee compensation	2
Connectivity‐informed adaptive regularization for generalized outcomes	2
	2
Scalable spatio‐temporal Bayesian analysis of high‐dimensional electroencephalography data	2
Semiparametric estimation for the functional additive hazards model	2
	2
Issue Information	2
A modified expectation‐maximization algorithm for latent Gaussian graphical model	2

Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	2
Shrinkage quantile regression for panel data with multiple structural breaks	2