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	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
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
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression	5
Issue Information	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
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
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
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
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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
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	1
Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables	1
Tolerance bands for exponential family functional data	1
Quantile function regression and variable selection for sparse models	1
Clustering and semi‐supervised classification for clickstream data via mixture models	1
On the singular gamma, Wishart, and beta matrix‐variate density functions	1
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	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
Regression trees for interval‐censored failure time data based on censoring unbiased transformations and pseudo‐observations	1
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Dynamic estimation with random forests for discrete‐time survival data	1
A conversation with Nancy Reid	1
Multivariate online regression analysis with heterogeneous streaming data	1
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Modelling multi‐scale, state‐switching functional data with hidden Markov models	1
Subgroup analysis of linear models with measurement error	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Clustering spatial functional data using a geographically weighted Dirichlet process	1
Unweighted estimation based on optimal sample under measurement constraints	1
On the correlation analysis of stocks with zero returns	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Method of model checking for case II interval‐censored data under the additive hazards model	1
Special issue in honour of Nancy Reid: Guest Editors' introduction	1
A Jackknife empirical likelihood approach forK‐sample Tests	1
Automatic structure recovery for generalized additive models	1
Life history analysis with multistate models: A review and some current issues	1
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Subspace clustering for panel data with interactive effects	1
A framework for incorporating behavioural change into individual‐level spatial epidemic models	1
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	1
Modelling occurrence and quantity of longitudinal semicontinuous data simultaneously with nonparametric unobserved heterogeneity	1
Reducing bias due to misclassified exposures using instrumental variables	1
Testing normality in any dimension by Fourier methods in a multivariate Stein equation	1
Testing homogeneity in contaminated mixture models	1
Bayesian clustering for continuous‐time hidden Markov models	1
Regression model selection via log‐likelihood ratio and constrained minimum criterion	1
Rerandomization and optimal matching	1
Reflections on Bayesian inference and Markov chain Monte Carlo	1
Testing normality of spatially indexed functional data	1
PCA Rerandomization	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	0
Penalized complexity priors for the skewness parameter of power links	0
Issue Information	0
Pseudo empirical likelihood inference for nonprobability survey samples	0
Variation pattern classification of functional data	0
Efficient multiply robust imputation in the presence of influential units in surveys	0
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	0
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising	0
Economic variable selection	0
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	0
Issue Information	0
Group structure detection for a high‐dimensional panel data model	0
Objective model selection with parallel genetic algorithms using an eradication strategy	0
Acknowledgement of Referees' Services Remerciements aux membres des jurys	0
Issue Information	0
Doubly stochastic models for spatio‐temporal covariation of replicated point processes	0
Empirical‐process‐based specification tests for diffusion models	0
A stable and adaptive polygenic signal detection method based on repeated sample splitting	0
Direct local linear estimation for Sharpe ratio function	0
Best approach direction for spherical random variables	0
Estimating design operating characteristics in Bayesian adaptive clinical trials	0
Complex statistical modelling for phylogenetic inference	0
Under‐reporting of COVID‐19 in the Northern Health Authority region of British Columbia	0
Bayesian instrumental variable estimation in linear measurement error models	0
Robust nonparametric hypothesis tests for differences in the covariance structure of functional data	0
Tests for the first‐order stochastic dominance	0
Covid‐19‐related content in The Canadian Journal of Statistics	0
Sample empirical likelihood methods for causal inference	0
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	0
Estimation in a general mixture of Markov jump processes	0
Improved inference for a boundary parameter	0
The EAS approach for graphical selection consistency in vector autoregression models	0
A tale of two variances	0
Combining ranking information from different sources in ranked‐set samples	0
On asymptotic approximation of ratio models for weakly dependent sequences	0
Two‐dimensional projection uniformity for space‐filling designs	0

Robust estimation of loss‐based measures of model performance under covariate shift	0
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Recovery of sums of sparse and dense signals by incorporating graphical structure among predictors	0
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Tests of linear hypotheses using indirect information	0
Authors' corrigenda/corrections des auteurs on synthetic data method to incorporate external information into a current study	0
Synthetic estimation for the complier average causal effect	0
Acknowledgement of Referees' Services Remerciements aux membres des jurys	0
From regression rank scores to robust inference for censored quantile regression	0
Model selection properties of forward selection and sequential cross‐validation for high‐dimensional regression	0
Robust joint modelling of sparsely observed paired functional data	0
Sparse estimation within Pearson's system, with an application to financial market risk	0
Multiple change‐point detection for regression curves	0
A new class of asymptotic maximin distance Latin hypercube designs	0
Censored autoregressive regression models with Student‐t innovations	0
Avoiding prior–data conflict in regression models via mixture priors	0
Issue Information	0
A zero‐modified geometric INAR(1) model for analyzing count time series with multiple features	0
General minimum lower‐order confounding three‐level split‐plot designs when the whole plot factors are important	0
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	0
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Distributed learning for kernel mode–based regression	0
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	0
A nonlinear sparse neural ordinary differential equation model for multiple functional processes	0
Adaptive estimation for functional data: Using a framelet block‐thresholding method	0
Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	0
A weighted method for the exclusive hypothesis test with application to typhoon data	0
Bayesian spline smoothing with ambiguous penalties	0
Jump‐robust testing of volatility functions in continuous time models	0
Canadian contributions to environmetrics	0
The estimation of the fractal dimension of a Gaussian field via Euler characteristic	0
Testing for equality between conditional copulas given discretized conditioning events	0
Special issue on “Functional and object data analysis”: Guest Editor's introduction	0
Causal inference for multiple treatments using fractional factorial designs	0
An SIR‐based Bayesian framework for COVID‐19 infection estimation	0
The quantile‐based classifier with variable‐wise parameters	0
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	0
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Likelihood identifiability and parameter estimation with nonignorable missing data	0
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Classified generalized linear mixed model prediction incorporating pseudo‐prior information	0
Reproducing kernel‐based functional linear expectile regression	0
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	0
High‐dimensional model averaging for quantile regression	0
Quasi‐maximum exponential likelihood estimation for double‐threshold GARCH models	0
Not all long‐memory estimators are born equal: The case of nonstationary functional time series	0
Distributed estimation with empirical likelihood	0
Robust causal inference for point exposures with missing confounders	0
Issue Information	0
Hazard regression with noncompactly supported bases	0
Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions	0
Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier	0
A parameter transformation of the anisotropic Matérn covariance function	0
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	0
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	0
Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	0
Acknowledgement of referees' services remerciements aux membres des jurys	0
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	0
Susceptible‐infected‐recovered model with stochastic transmission	0
Robust estimation and variable selection for function‐on‐scalar regression	0
A hyperbolic divergence based nonparametric test for two‐sample multivariate distributions	0
Issue Information	0
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Subgroup analysis for functional partial linear regression model	0
Nonparametric tests for treatment effect heterogeneity in observational studies	0
Issue Information	0
Variable selection in nonparametric functional concurrent regression	0
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Optimal design under complete class with ancillary functions	0
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A model‐averaging treatment of multiple instruments in Poisson models with errors	0
Nonparametric confidence regions via the analytic wild bootstrap	0
Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions	0
Smoothed model‐assisted small area estimation of proportions	0
Balanced longitudinal data clustering with a copula kernel mixture model	0
Issue Information	0
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	0
Nonparametric estimation of unrestricted distributions and their jumps	0
Order‐restricted hypothesis tests for nonlinear mixed‐effects models with measurement errors in covariates	0
Issue Information	0
Joint analysis of longitudinal count and binary response data in the presence of outliers	0
Identifiability constraints in generalized additive models	0
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models	0
Estimated reproduction ratios in the SIR model	0
Fused mean structure learning in data integration with dependence	0
Issue Information	0
Dynamic treatment regimes with interference	0
Introduction to the special issue on the 50th anniversary of CJS	0
Variable selection in additive models via hierarchical sparse penalty	0
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Principal component‐guided sparse regression	0
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Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	0