Canadian Journal of Statistics-Revue Canadienne de Statistique

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
On the spectral coherence between two periodically correlated processes	9
Continuum centroid classifier for functional data	9
	9
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	7
Machine learning in/for blockchain: Future and challenges	7
Acknowledgement of Referees' Services/ Remerciements aux lecteurs critiques	7
Distributed sequential estimation procedures	7
Issue Information	7
Asymptotic theory in bipartite graph models with a growing number of parameters	6
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques	6
Cluster analysis with regression of non‐Gaussian functional data on covariates	6
Editorial	6
Sparse estimation of historical functional linear models with a nested group bridge approach	5
Causal inference: Critical developments, past and future	5
Two‐stage cluster samples with judgment post‐stratification	5
A new copula regression model for hierarchical data	5
	5
Issue Information	4
A calibration method to stabilize estimation with missing data	4
Issue Information	4
Missing data analysis with sufficient dimension reduction	4
Robust reflections	4
A combined moment equation approach for spatial autoregressive models	4

Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	4
The Canadian Statistical Sciences Institute 2003–2022	4
Divide and conquer for accelerated failure time model with massive time‐to‐event data	4
D. A. S. Fraser: From structural inference to asymptotics	3
Nonparametric simulation extrapolation for measurement‐error models	3
Cellwise outlier detection with false discovery rate control	3
True and false discoveries with independent and sequential e‐values	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
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	3
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	3
Simultaneous variable selection, clustering, and smoothing in function‐on‐scalar regression	3
Semiparametric integer‐valued autoregressive models on ℤ	3
Integrating information from existing risk prediction models with no model details	3
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
Special Issue on Neuroimaging data analysis: Guest Editors' Introduction	3
Assessing the calibration of subdistribution hazard models in discrete time	3
Volatility analysis for the GARCH‐Itô model with option data	3
Fast and scalable inference for spatial extreme value models	3
Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors	3
Efficient multiple change point detection for high‐dimensional generalized linear models	3
Variable selection in modelling clustered data via within‐cluster resampling	3
	2
Semiparametric estimation for the functional additive hazards model	2
Better experimental design by hybridizing binary matching with imbalance optimization	2
	2
The linear Lasso: A location model approach	2
Issue Information	2
Inducement of population sparsity	2
Interim analysis of sequential estimation‐adjusted urn models with sample size re‐estimation	2
Optimal subsampling for large‐sample quantile regression with massive data	2
New semiparametric regression method with applications in selection‐biased sampling and missing data problems	2
Contrast tests for groups of functional data	2
Football group draw probabilities and corrections	2
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	2
A high‐dimensional inverse norm sign test for two‐sample location problems	2
Shrinkage quantile regression for panel data with multiple structural breaks	2
Statistical data integration using multilevel models to predict employee compensation	2
Issue Information	2
Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification	2
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	2
Issue Information	2
Weighted lens depth: Some applications to supervised classification	2
Additive hazard regression of event history studies with intermittently measured covariates	2
Confidence sequences with composite likelihoods	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 modified expectation‐maximization algorithm for latent Gaussian graphical model	2
Modelling occurrence and quantity of longitudinal semicontinuous data simultaneously with nonparametric unobserved heterogeneity	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1

Multivariate online regression analysis with heterogeneous streaming data	1
Special issue in honour of Nancy Reid: Guest Editors' introduction	1
Clustering and semi‐supervised classification for clickstream data via mixture models	1
Automatic structure recovery for generalized additive models	1
Causal inference for multiple treatments using fractional factorial designs	1
Issue Information	1
Unweighted estimation based on optimal sample under measurement constraints	1
Constrained Bayes in multiplicative area‐level models under the precautionary loss function	1
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	1
Matching distributions for survival data	1
Semiparametric additive frailty hazard model for clustered failure time data	1
Bayesian clustering for continuous‐time hidden Markov models	1
On the correlation analysis of stocks with zero returns	1
Quantile function regression and variable selection for sparse models	1
PCA Rerandomization	1
	1
	1
Rerandomization and optimal matching	1
Subgroup analysis of linear models with measurement error	1
Testing normality of spatially indexed functional data	1
Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine tri	1
Segment regression model average with multiple threshold variables and multiple structural breaks	1
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	1
Doubly robust weighted composite quantile regression based on SCAD‐L2	1
Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables	1
A new test for high‐dimensional regression coefficients in partially linear models	1
A test for independence via Bayesian nonparametric estimation of mutual information	1
Testing homogeneity in contaminated mixture models	1
Subspace clustering for panel data with interactive effects	1
Clustering spatial functional data using a geographically weighted Dirichlet process	1
A Jackknife empirical likelihood approach forK‐sample Tests	1
Reflections on Bayesian inference and Markov chain Monte Carlo	1
	1
Life history analysis with multistate models: A review and some current issues	1
A conversation with Nancy Reid	1
Modelling multi‐scale, state‐switching functional data with hidden Markov models	1
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	1
On the singular gamma, Wishart, and beta matrix‐variate density functions	1
Smoothed model‐assisted small area estimation of proportions	1
Perturbation‐based null hypothesis tests with an application to Clayton models	1
Recovering the underlying trajectory from sparse and irregular longitudinal data	1
New highly efficient high‐breakdown estimator of multivariate scatter and location for elliptical distributions	1
Reducing bias due to misclassified exposures using instrumental variables	1
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Acknowledgement of referees' services remerciements aux membres des jurys	0
Distributed learning for kernel mode–based regression	0
Introduction to the special issue on the 50th anniversary of CJS	0
Best approach direction for spherical random variables	0
Distributed estimation with empirical likelihood	0
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	0
Testing for equality between conditional copulas given discretized conditioning events	0
A zero‐modified geometric INAR(1) model for analyzing count time series with multiple features	0
A model‐averaging treatment of multiple instruments in Poisson models with errors	0
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Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	0
Tests for the first‐order stochastic dominance	0
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Estimated reproduction ratios in the SIR model	0
A new class of asymptotic maximin distance Latin hypercube designs	0
Estimation in a general mixture of Markov jump processes	0
Issue Information	0
High‐dimensional model averaging for quantile regression	0
Economic variable selection	0
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	0
Quasi‐maximum exponential likelihood estimation for double‐threshold GARCH models	0
	0
Tests of linear hypotheses using indirect information	0
Objective model selection with parallel genetic algorithms using an eradication strategy	0
Penalized complexity priors for the skewness parameter of power links	0
A framework for incorporating behavioural change into individual‐level spatial epidemic models	0
Hazard regression with noncompactly supported bases	0
Efficient multiply robust imputation in the presence of influential units in surveys	0
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	0
Subgroup analysis for functional partial linear regression model	0
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising	0
Synthetic estimation for the complier average causal effect	0
Issue Information	0
Group structure detection for a high‐dimensional panel data model	0
Method of model checking for case II interval‐censored data under the additive hazards model	0

Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	0
Dynamic treatment regimes with interference	0
Functional‐coefficient regression models with GARCH errors	0
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	0
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	0
Adaptive estimation for functional data: Using a framelet block‐thresholding method	0
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models	0
Robust causal inference for point exposures with missing confounders	0
The EAS approach for graphical selection consistency in vector autoregression models	0
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	0
General minimum lower‐order confounding three‐level split‐plot designs when the whole plot factors are important	0
Acknowledgement of Referees' Services Remerciements aux membres des jurys	0
Jump‐robust testing of volatility functions in continuous time models	0
	0
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	0
Issue Information	0
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	0
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	0
Authors' corrigenda/corrections des auteurs on synthetic data method to incorporate external information into a current study	0
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression	0
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	0
Special issue on “Functional and object data analysis”: Guest Editor's introduction	0
Complex statistical modelling for phylogenetic inference	0
Balanced longitudinal data clustering with a copula kernel mixture model	0
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A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	0
Bayesian instrumental variable estimation in linear measurement error models	0
Issue Information	0
Not all long‐memory estimators are born equal: The case of nonstationary functional time series	0
Optimal design under complete class with ancillary functions	0
Reproducing kernel‐based functional linear expectile regression	0
Penalized high‐dimensional M‐quantile regression: From L1 to Lp optimization	0
Tolerance bands for exponential family functional data	0
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	0
From regression rank scores to robust inference for censored quantile regression	0
Pseudo empirical likelihood inference for nonprobability survey samples	0
Censored autoregressive regression models with Student‐t innovations	0
Fused mean structure learning in data integration with dependence	0
Principal component‐guided sparse regression	0
Dynamic estimation with random forests for discrete‐time survival data	0
Issue Information	0
Covid‐19‐related content in The Canadian Journal of Statistics	0
Canadian contributions to environmetrics	0
Doubly stochastic models for spatio‐temporal covariation of replicated point processes	0
Regression trees for interval‐censored failure time data based on censoring unbiased transformations and pseudo‐observations	0
Issue Information	0
Likelihood identifiability and parameter estimation with nonignorable missing data	0
The conditional distance autocovariance function	0
Identifiability constraints in generalized additive models	0
Optimal subsampling for linear quantile regression models	0
Combining ranking information from different sources in ranked‐set samples	0
Nonparametric confidence regions via the analytic wild bootstrap	0
Avoiding prior–data conflict in regression models via mixture priors	0
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Robust joint modelling of sparsely observed paired functional data	0
Sparse estimation within Pearson's system, with an application to financial market risk	0
Recovery of sums of sparse and dense signals by incorporating graphical structure among predictors	0
Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions	0
Empirical‐process‐based specification tests for diffusion models	0
A nonlinear sparse neural ordinary differential equation model for multiple functional processes	0
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	0
A stable and adaptive polygenic signal detection method based on repeated sample splitting	0
Direct local linear estimation for Sharpe ratio function	0
A tale of two variances	0
Variation pattern classification of functional data	0
Order‐restricted hypothesis tests for nonlinear mixed‐effects models with measurement errors in covariates	0
A hyperbolic divergence based nonparametric test for two‐sample multivariate distributions	0
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Susceptible‐infected‐recovered model with stochastic transmission	0
Robust estimation of loss‐based measures of model performance under covariate shift	0
Two‐dimensional projection uniformity for space‐filling designs	0
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	0
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Variable selection in additive models via hierarchical sparse penalty	0
Nonparametric tests for treatment effect heterogeneity in observational studies	0
Robust nonparametric hypothesis tests for differences in the covariance structure of functional data	0
An SIR‐based Bayesian framework for COVID‐19 infection estimation	0
Variable selection in nonparametric functional concurrent regression	0
Issue Information	0
Robust estimation and variable selection for function‐on‐scalar regression	0
On asymptotic approximation of ratio models for weakly dependent sequences	0
Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier	0
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	0
Improved inference for a boundary parameter	0
Regression model selection via log‐likelihood ratio and constrained minimum criterion	0
Issue Information	0
Issue Information	0
Joint analysis of longitudinal count and binary response data in the presence of outliers	0
The estimation of the fractal dimension of a Gaussian field via Euler characteristic	0
Nonparametric estimation of unrestricted distributions and their jumps	0
Multiple change‐point detection for regression curves	0
A parameter transformation of the anisotropic Matérn covariance function	0
A weighted method for the exclusive hypothesis test with application to typhoon data	0
Estimating design operating characteristics in Bayesian adaptive clinical trials	0