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 2021-04-01 to 2025-04-01.)

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	18
	9
Doubly robust criterion for causal inference	9
Continuum centroid classifier for functional data	9
Issue Information	8
On the spectral coherence between two periodically correlated processes	8
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	7
Distributed sequential estimation procedures	7
Machine learning in/for blockchain: Future and challenges	7
Asymptotic theory in bipartite graph models with a growing number of parameters	6
Sparse estimation of historical functional linear models with a nested group bridge approach	6
Editorial	6
Causal inference: Critical developments, past and future	6
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques	6
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	5
Issue Information	5
Two‐stage cluster samples with judgment post‐stratification	5
Robust reflections	5
	5
The Canadian Statistical Sciences Institute 2003–2022	5
Missing data analysis with sufficient dimension reduction	5
A calibration method to stabilize estimation with missing data	4
Variable selection in modelling clustered data via within‐cluster resampling	4
Volatility analysis for the GARCH‐Itô model with option data	4

Issue Information	4
Assessing the calibration of subdistribution hazard models in discrete time	4
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	4
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	4
A combined moment equation approach for spatial autoregressive models	4
Nonparametric simulation extrapolation for measurement‐error models	4
A new copula regression model for hierarchical data	4
Fast and scalable inference for spatial extreme value models	3
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	3
Pretest and shrinkage estimators in generalized partially linear models with application to real data	3
Estimation of design‐based mean squared error of a small area mean model‐based estimator under a nested error linear regression model	3
Segment regression model average with multiple threshold variables and multiple structural breaks	3
Optimal subsampling for large‐sample quantile regression with massive data	3
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	3
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	3
True and false discoveries with independent and sequential e‐values	3
Integrating information from existing risk prediction models with no model details	3
Efficient multiple change point detection for high‐dimensional generalized linear models	3
Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches	3
Shrinkage quantile regression for panel data with multiple structural breaks	3
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	3
Cellwise outlier detection with false discovery rate control	3
Semiparametric integer‐valued autoregressive models on ℤ	3
D. A. S. Fraser: From structural inference to asymptotics	3
Cluster analysis with regression of non‐Gaussian functional data on covariates	3
Divide and conquer for accelerated failure time model with massive time‐to‐event data	3
Statistical data integration using multilevel models to predict employee compensation	3
Inducement of population sparsity	3
New semiparametric regression method with applications in selection‐biased sampling and missing data problems	2
Constrained Bayes in multiplicative area‐level models under the precautionary loss function	2
A high‐dimensional inverse norm sign test for two‐sample location problems	2
A modified expectation‐maximization algorithm for latent Gaussian graphical model	2
Better experimental design by hybridizing binary matching with imbalance optimization	2
Semiparametric estimation for the functional additive hazards model	2
Matching distributions for survival data	2
Contrast tests for groups of functional data	2
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	2
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	2
Issue Information	2
Confidence sequences with composite likelihoods	2
Issue Information	2
The linear Lasso: A location model approach	2
Doubly robust weighted composite quantile regression based on SCAD‐L₂	2
Football group draw probabilities and corrections	2
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	2
Weighted lens depth: Some applications to supervised classification	2
Issue Information	2
Additive hazard regression of event history studies with intermittently measured covariates	2
	2
A test for independence via Bayesian nonparametric estimation of mutual information	2

A new test for high‐dimensional regression coefficients in partially linear models	2
Recovering the underlying trajectory from sparse and irregular longitudinal data	2
Semiparametric additive frailty hazard model for clustered failure time data	2
New highly efficient high‐breakdown estimator of multivariate scatter and location for elliptical distributions	2