OOIR: Observatory of International Research

Papers

(The median citation count of Canadian Journal of Statistics-Revue Canadienne de Statistique is 1. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Machine learning in/for blockchain: Future and challenges	32
Semiparametric integer‐valued autoregressive models on ℤ	15
On statistical tests of functional connectome fingerprinting	10
Avoiding prior–data conflict in regression models via mixture priors	9
Multivariate online regression analysis with heterogeneous streaming data	9
Recovering the underlying trajectory from sparse and irregular longitudinal data	9
Semiparametric inference of the Youden index and the optimal cut‐off point under density ratio models	8
Dynamic estimation with random forests for discrete‐time survival data	7
Optimal subsampling for linear quantile regression models	7
Modelling multi‐scale, state‐switching functional data with hidden Markov models	7
A Jackknife empirical likelihood approach forK‐sample Tests	7
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression	6
Causal inference for multiple treatments using fractional factorial designs	6
Estimating design operating characteristics in Bayesian adaptive clinical trials	6
Statistical disease mapping for heterogeneous neuroimaging studies	6
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	6
Integrating information from existing risk prediction models with no model details	6
Principal component‐guided sparse regression	5
Variable selection in nonparametric functional concurrent regression	5
A zero‐modified geometric INAR(1) model for analyzing count time series with multiple features	5
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	5
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	5
A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease	5
Robust estimation and variable selection for function‐on‐scalar regression	4
Reflections on Bayesian inference and Markov chain Monte Carlo	4

Estimation of design‐based mean squared error of a small area mean model‐based estimator under a nested error linear regression model	4
Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	4
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	4
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players	4
Nonparametric confidence regions via the analytic wild bootstrap	4
Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution	4
Optimal subsampling for large‐sample quantile regression with massive data	4
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	4
Semiparametric additive frailty hazard model for clustered failure time data	3
Assessing the calibration of subdistribution hazard models in discrete time	3
Causal inference: Critical developments, past and future	3
Penalized complexity priors for the skewness parameter of power links	3
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	3
Quantile function regression and variable selection for sparse models	3
A test for independence via Bayesian nonparametric estimation of mutual information	3
Asymptotic theory in bipartite graph models with a growing number of parameters	3
Nonparametric simulation extrapolation for measurement‐error models	3
Efficient multiple change point detection for high‐dimensional generalized linear models	3
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	3
Dynamic treatment regimes with interference	3
Special issue on “Functional and object data analysis”: Guest Editor's introduction	3
Smoothed model‐assisted small area estimation of proportions	3
A new test for high‐dimensional regression coefficients in partially linear models	3
Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches	3
Cluster analysis with regression of non‐Gaussian functional data on covariates	3
A weighted method for the exclusive hypothesis test with application to typhoon data	3
On set‐based association tests: Insights from a regression using summary statistics	3
Quasi‐maximum exponential likelihood estimation for double‐threshold GARCH models	3
On the singular gamma, Wishart, and beta matrix‐variate density functions	3
Penalized high‐dimensional M‐quantile regression: From L¹ to L^p optimization	2
Direct local linear estimation for Sharpe ratio function	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Life history analysis with multistate models: A review and some current issues	2
An approximate Bayesian inference on propensity score estimation under unit nonresponse	2
	2
Evaluation of competing risks prediction models using polytomous discrimination index	2
Identifiability constraints in generalized additive models	2
Improved inference for a boundary parameter	2
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	2
Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions	2
Combining ranking information from different sources in ranked‐set samples	2
Reproducing kernel‐based functional linear expectile regression	2
PCA Rerandomization	2
Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables	2
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	2
Continuum centroid classifier for functional data	2
From regression rank scores to robust inference for censored quantile regression	2
Doubly stochastic models for spatio‐temporal covariation of replicated point processes	2
Pseudo empirical likelihood inference for nonprobability survey samples	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2

Bayesian spline smoothing with ambiguous penalties	2
Multivariate functional response low‐rank regression with an application to brain imaging data	2
Estimation and hypothesis testing with error‐contaminated survival data under possibly misspecified measurement error models	2
Testing normality of spatially indexed functional data	2
Additive hazard regression of event history studies with intermittently measured covariates	2
A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging	2
Estimated reproduction ratios in the SIR model	2
Group structure detection for a high‐dimensional panel data model	2
A model‐averaging treatment of multiple instruments in Poisson models with errors	2
Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier	1
The linear Lasso: A location model approach	1
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	1
Semiparametric estimation for the functional additive hazards model	1
Not all long‐memory estimators are born equal: The case of nonstationary functional time series	1
Statistical data integration using multilevel models to predict employee compensation	1
Inducement of population sparsity	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	1
Variable selection and structure estimation for ultrahigh‐dimensional additive hazards models	1
A nonlinear sparse neural ordinary differential equation model for multiple functional processes	1
D. A. S. Fraser: From structural inference to asymptotics	1
Testing for equality between conditional copulas given discretized conditioning events	1
Robust nonparametric hypothesis tests for differences in the covariance structure of functional data	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
On the correlation analysis of stocks with zero returns	1
New highly efficient high‐breakdown estimator of multivariate scatter and location for elliptical distributions	1
Subgroup analysis for functional partial linear regression model	1
Better experimental design by hybridizing binary matching with imbalance optimization	1
A tale of two variances	1
Quantile association regression on bivariate survival data	1
Economic variable selection	1
Shrinkage quantile regression for panel data with multiple structural breaks	1
Distributed sequential estimation procedures	1
	1
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	1
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	1
On logistic Box–Cox regression for flexibly estimating the shape and strength of exposure‐disease relationships	1
Divide and conquer for accelerated failure time model with massive time‐to‐event data	1
Method of model checking for case II interval‐censored data under the additive hazards model	1
Bayesian clustering for continuous‐time hidden Markov models	1
	1
Doubly robust weighted composite quantile regression based on SCAD‐L₂	1
General minimum lower‐order confounding three‐level split‐plot designs when the whole plot factors are important	1
Weighted lens depth: Some applications to supervised classification	1
	1
Segment regression model average with multiple threshold variables and multiple structural breaks	1
Adaptive estimation for functional data: Using a framelet block‐thresholding method	1
Interim analysis of sequential estimation‐adjusted urn models with sample size re‐estimation	1
Connectivity‐informed adaptive regularization for generalized outcomes	1
	1
Volatility analysis for the GARCH‐Itô model with option data	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Sparse estimation of historical functional linear models with a nested group bridge approach	1
The conditional distance autocovariance function	1
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data	1
Two‐dimensional projection uniformity for space‐filling designs	1
	1
Unweighted estimation based on optimal sample under measurement constraints	1
Perturbation‐based null hypothesis tests with an application to Clayton models	1
Adaptive banding covariance estimation for high‐dimensional multivariate longitudinal data	1
Matching distributions for survival data	1