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 2020-03-01 to 2024-03-01.)

Article	Citations
Machine learning in/for blockchain: Future and challenges	28
On the role of local blockchain network features in cryptocurrency price formation	15
Weighted Bayesian bootstrap for scalable posterior distributions	14
Semiparametric integer‐valued autoregressive models on ℤ	14
Homogeneity testing under finite location‐scale mixtures	9
On statistical tests of functional connectome fingerprinting	8
Avoiding prior–data conflict in regression models via mixture priors	8
On variable ordination of Cholesky‐based estimation for a sparse covariance matrix	7
A Jackknife empirical likelihood approach for K‐sample Tests	6
Semiparametric inference of the Youden index and the optimal cut‐off point under density ratio models	6
Optimal subsampling for linear quantile regression models	6
Recovering the underlying trajectory from sparse and irregular longitudinal data	6
Statistical disease mapping for heterogeneous neuroimaging studies	6
Estimating design operating characteristics in Bayesian adaptive clinical trials	6
An efficient algorithm for Elastic I‐optimal design of generalized linear models	6
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	5
A broad class of zero‐or‐one inflated regression models for rates and proportions	5
Multivariate online regression analysis with heterogeneous streaming data	5
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression	5
Dynamic estimation with random forests for discrete‐time survival data	5
Variable selection in nonparametric functional concurrent regression	4
Modelling multi‐scale, state‐switching functional data with hidden Markov models	4
Post model‐fitting exploration via a “Next‐Door” analysis	4
Principal component‐guided sparse regression	4
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	4

A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease	4
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	4
Estimation of nonparametric additive models with high order spatial autoregressive errors	4
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	4
Integrating information from existing risk prediction models with no model details	4
A test for independence via Bayesian nonparametric estimation of mutual information	3
Assessing the calibration of subdistribution hazard models in discrete time	3
Estimation of the additive hazards model with interval‐censored data and missing covariates	3
On set‐based association tests: Insights from a regression using summary statistics	3
Minimum L^q‐distance estimators for non‐normalized parametric models	3
Quasi‐maximum exponential likelihood estimation for double‐threshold GARCH models	3
Nonparametric beta kernel estimator for long and short memory time series	3
Estimation of design‐based mean squared error of a small area mean model‐based estimator under a nested error linear regression model	3
Cluster analysis with regression of non‐Gaussian functional data on covariates	3
Robust estimation and variable selection for function‐on‐scalar regression	3
Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution	3
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	3
Semiparametric isotonic regression modelling and estimation for group testing data	3
Optimal subsampling for large‐sample quantile regression with massive data	3
Asymptotic theory in bipartite graph models with a growing number of parameters	3
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	3
Nonparametric confidence regions via the analytic wild bootstrap	3
Robust multivariate change point analysis based on data depth	3
Causal inference for multiple treatments using fractional factorial designs	3
An approximate Bayesian inference on propensity score estimation under unit nonresponse	2
On the singular gamma, Wishart, and beta matrix‐variate density functions	2
Reflections on Bayesian inference and Markov chain Monte Carlo	2
Sure joint feature screening in nonparametric transformation model for right censored data	2
Semiparametric additive frailty hazard model for clustered failure time data	2
Causal inference: Critical developments, past and future	2
Dynamic treatment regimes with interference	2
Local structure graph models with higher‐order dependence	2
Estimated reproduction ratios in the SIR model	2
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Bayesian spline smoothing with ambiguous penalties	2
Life history analysis with multistate models: A review and some current issues	2
Smoothed model‐assisted small area estimation of proportions	2
Regression modelling with the tilted beta distribution: A Bayesian approach	2
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	2
Continuum centroid classifier for functional data	2
Nonparametric simulation extrapolation for measurement‐error models	2
A weighted method for the exclusive hypothesis test with application to typhoon data	2
A sequential split‐and‐conquer approach for the analysis of big dependent data in computer experiments	2
Robust estimation of mean squared prediction error in small‐area estimation	2
A zero‐modified geometric INAR(1) model for analyzing count time series with multiple features	2
Direct local linear estimation for Sharpe ratio function	2
Special issue on “Functional and object data analysis”: Guest Editor's introduction	2
Efficient nonparametric estimation for skewed distributions	2
Testing normality of spatially indexed functional data	2

A Bayesian mixture of experts approach to covariate misclassification	2
Additive hazard regression of event history studies with intermittently measured covariates	2
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players	2
Evaluation of competing risks prediction models using polytomous discrimination index	2
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
Combining ranking information from different sources in ranked‐set samples	2
Reproducing kernel‐based functional linear expectile regression	2
PCA Rerandomization	1
Partial deconvolution estimation in nonparametric regression	1
From regression rank scores to robust inference for censored quantile regression	1
Perturbation‐based null hypothesis tests with an application to Clayton models	1
Doubly stochastic models for spatio‐temporal covariation of replicated point processes	1
Empirical likelihood for nonlinear regression models with nonignorable missing responses	1
Group structure detection for a high‐dimensional panel data model	1
Better experimental design by hybridizing binary matching with imbalance optimization	1
Not all long‐memory estimators are born equal: The case of nonstationary functional time series	1
A Gaussian alternative to using improper confidence intervals	1
Continuous threshold models with two‐way interactions in survival analysis	1
Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions	1
Empirical and conditional likelihoods for two‐phase studies	1
A new test for high‐dimensional regression coefficients in partially linear models	1
A model‐averaging treatment of multiple instruments in Poisson models with errors	1
Sparse estimation of historical functional linear models with a nested group bridge approach	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches	1
On‐line partitioning of the sample space in the regional adaptive algorithm	1
A nonlinear sparse neural ordinary differential equation model for multiple functional processes	1
Quantile function regression and variable selection for sparse models	1
Adaptive banding covariance estimation for high‐dimensional multivariate longitudinal data	1
A semiparametric stochastic mixed effects model for bivariate cyclic longitudinal data	1
Estimation and hypothesis testing with error‐contaminated survival data under possibly misspecified measurement error models	1
Adaptive estimation for functional data: Using a framelet block‐thresholding method	1
Connectivity‐informed adaptive regularization for generalized outcomes	1
A tale of two variances	1
Efficient multiple change point detection for high‐dimensional generalized linear models	1
The linear Lasso: A location model approach	1
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A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging	1
Estimation in the Cox cure model with covariates missing not at random, with application to disease screening/prediction	1
Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	1
Interim analysis of sequential estimation‐adjusted urn models with sample size re‐estimation	1
Quantile association regression on bivariate survival data	1
Pseudo empirical likelihood inference for nonprobability survey samples	1
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	1
Multivariate functional response low‐rank regression with an application to brain imaging data	1
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	1
The conditional distance autocovariance function	1
Two‐dimensional projection uniformity for space‐filling designs	1
Optimal balanced block designs for correlated observations	1
General minimum lower‐order confounding three‐level split‐plot designs when the whole plot factors are important	1
On the correlation analysis of stocks with zero returns	1
Penalized complexity priors for the skewness parameter of power links	1
Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables	1
Subgroup analysis for functional partial linear regression model	1
Semiparametric estimation for the functional additive hazards model	1
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	1
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New highly efficient high‐breakdown estimator of multivariate scatter and location for elliptical distributions	1
Penalized high‐dimensional M‐quantile regression: From L¹ to L^p optimization	1
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data	1
Weighted lens depth: Some applications to supervised classification	1
Statistical data integration using multilevel models to predict employee compensation	1
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Divide and conquer for accelerated failure time model with massive time‐to‐event data	1
Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error	1
D. A. S. Fraser: From structural inference to asymptotics	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Variable selection and structure estimation for ultrahigh‐dimensional additive hazards models	1