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 2020-05-01 to 2024-05-01.)

Article	Citations
Machine learning in/for blockchain: Future and challenges	30
Weighted Bayesian bootstrap for scalable posterior distributions	16
Semiparametric integer‐valued autoregressive models on ℤ	14
Homogeneity testing under finite location‐scale mixtures	9
Avoiding prior–data conflict in regression models via mixture priors	8
On statistical tests of functional connectome fingerprinting	8
Recovering the underlying trajectory from sparse and irregular longitudinal data	7
On variable ordination of Cholesky‐based estimation for a sparse covariance matrix	7
Optimal subsampling for linear quantile regression models	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
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression	6
A broad class of zero‐or‐one inflated regression models for rates and proportions	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
A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease	5
Dynamic estimation with random forests for discrete‐time survival data	5
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	5
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	5
Modelling multi‐scale, state‐switching functional data with hidden Markov models	5
Principal component‐guided sparse regression	4
Variable selection in nonparametric functional concurrent regression	4
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	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
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	4
Optimal subsampling for large‐sample quantile regression with massive data	4
Nonparametric confidence regions via the analytic wild bootstrap	4
Multivariate online regression analysis with heterogeneous streaming data	4
Integrating information from existing risk prediction models with no model details	4
On set‐based association tests: Insights from a regression using summary statistics	3
Minimum L^q‐distance estimators for non‐normalized parametric models	3
Semiparametric isotonic regression modelling and estimation for group testing data	3
A test for independence via Bayesian nonparametric estimation of mutual information	3
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players	3
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	3
Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution	3
Quantile function regression and variable selection for sparse models	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
Dynamic treatment regimes with interference	3
Robust estimation and variable selection for function‐on‐scalar regression	3
Quasi‐maximum exponential likelihood estimation for double‐threshold GARCH models	3
Causal inference for multiple treatments using fractional factorial designs	3
Assessing the calibration of subdistribution hazard models in discrete time	3
Asymptotic theory in bipartite graph models with a growing number of parameters	3
Nonparametric simulation extrapolation for measurement‐error models	2
Estimated reproduction ratios in the SIR model	2
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	2
Combining ranking information from different sources in ranked‐set samples	2
The EAS approach for graphical selection consistency in vector autoregression models	2
Special issue on “Functional and object data analysis”: Guest Editor's introduction	2
Reflections on Bayesian inference and Markov chain Monte Carlo	2
Testing normality of spatially indexed functional data	2
Semiparametric additive frailty hazard model for clustered failure time data	2
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	2
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	2
Evaluation of competing risks prediction models using polytomous discrimination index	2
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	2
A sequential split‐and‐conquer approach for the analysis of big dependent data in computer experiments	2
Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
Multivariate functional response low‐rank regression with an application to brain imaging data	2
Direct local linear estimation for Sharpe ratio function	2
Smoothed model‐assisted small area estimation of proportions	2
Efficient nonparametric estimation for skewed distributions	2
On the singular gamma, Wishart, and beta matrix‐variate density functions	2
A Bayesian mixture of experts approach to covariate misclassification	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
Local structure graph models with higher‐order dependence	2
A weighted method for the exclusive hypothesis test with application to typhoon data	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

Reproducing kernel‐based functional linear expectile regression	2
Bayesian spline smoothing with ambiguous penalties	2
An approximate Bayesian inference on propensity score estimation under unit nonresponse	2
Life history analysis with multistate models: A review and some current issues	2
Regression modelling with the tilted beta distribution: A Bayesian approach	2
Sure joint feature screening in nonparametric transformation model for right censored data	2
Continuum centroid classifier for functional data	2
Causal inference: Critical developments, past and future	2
Doubly stochastic models for spatio‐temporal covariation of replicated point processes	2