Canadian Journal of Statistics-Revue Canadienne de Statistique

Article	Citations
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models	16
Nonparametric simulation extrapolation for measurement‐error models	14
A calibration method to stabilize estimation with missing data	9
Finite sample and asymptotic distributions of a statistic for sufficient follow‐up in cure models	9
Volatility analysis for the GARCH‐Itô model with option data	9
Divide and conquer for accelerated failure time model with massive time‐to‐event data	8
Missing data analysis with sufficient dimension reduction	8
Optimal subsampling for large‐sample quantile regression with massive data	7
Football group draw probabilities and corrections	7
Semiparametric estimation for the functional additive hazards model	7
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Estimating design operating characteristics in Bayesian adaptive clinical trials	6
Reflections on Bayesian inference and Markov chain Monte Carlo	6
Unifying genetic association tests via regression: Prospective and retrospective, parametric and nonparametric, and genotype‐ and allele‐based tests	6
Regression model selection via log‐likelihood ratio and constrained minimum criterion	6
A new class of asymptotic maximin distance Latin hypercube designs	6
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An SIR‐based Bayesian framework for COVID‐19 infection estimation	5
Acknowledgement of Referees' Services Remerciements aux membres des jurys	5
Multiple change‐point detection for regression curves	5
Objective model selection with parallel genetic algorithms using an eradication strategy	5
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails	5
A tale of two variances	5
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On asymptotic approximation of ratio models for weakly dependent sequences	5

Bayesian Model Selection via Composite Likelihood for High‐dimensional Data Integration	4
Integrating information from existing risk prediction models with no model details	4
Causal inference: Critical developments, past and future	4
Matrix compatibility and correlation mixture representation of generalized Gini's gamma	4
True and false discoveries with independent and sequential e‐values	4
Asymptotic independence in more than two dimensions and its implications on risk management	4
A deep support vector clustering algorithm for unsupervised and semi‐supervised learning	4
The quantile‐based classifier with variable‐wise parameters	4
Asymptotic theory in bipartite graph models with a growing number of parameters	4
D. A. S. Fraser: From structural inference to asymptotics	4
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation	3
A framework for incorporating behavioural change into individual‐level spatial epidemic models	3
A random walk through Canadian contributions on empirical processes and their applications in probability and statistics	3
A high‐dimensional inverse norm sign test for two‐sample location problems	3
High‐dimensional variable selection accounting for heterogeneity in regression coefficients across multiple data sources	3
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data	3
Smoothed model‐assisted small area estimation of proportions	3
A multivariate Poisson model based on a triangular comonotonic shock construction	3
Issue Information	3
Inducement of population sparsity	3
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning	3
Joint modelling of quantile regression for longitudinal data with information observation times and a terminal event	3
On the correlation analysis of stocks with zero returns	3
A class of space‐filling designs with low‐dimensional stratification and column orthogonality	3
Better experimental design by hybridizing binary matching with imbalance optimization	3
Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints	2
Clustering and semi‐supervised classification for clickstream data via mixture models	2
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables	2
Balanced longitudinal data clustering with a copula kernel mixture model	2
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Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2
The EAS approach for graphical selection consistency in vector autoregression models	2
A class of directed acyclic graphs with mixed data types in mediation analysis	2
Robust estimation of loss‐based measures of model performance under covariate shift	2
Censored autoregressive regression models with Student‐t innovations	2
Acknowledgement of referees' services remerciements aux membres des jurys	2
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features	2
Life history analysis with multistate models: A review and some current issues	2
Issue Information	2
Optimal multiwave validation of secondary use data with outcome and exposure misclassification	2
High‐dimensional model averaging for quantile regression	2
Canadian contributions to environmetrics	1
Semiparametric and parametric distributional forecasting of univariate time series using non‐Gaussian ARMA models based on D‐vines	1
Issue Information	1
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference	1
Issue Information	1
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Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring	1

Robust joint modelling of sparsely observed paired functional data	1
Optimal relevant subset designs in nonlinear models	1
Empirical‐process‐based specification tests for diffusion models	1
Issue Information	1
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution	1
A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements	1
Issue Information	1
Rank‐based estimation of propensity score weights via subclassification	1
A conversation with Nancy Reid	1
The linear Lasso: A location model approach	1
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning	1
Bayesian instrumental variable estimation in linear measurement error models	1
Analysis of Multivariate Survival Data under Semiparametric Copula Models	1
Acknowledgement of Referees' Services Remerciements aux membres des jurys	1
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates	1
A stable and adaptive polygenic signal detection method based on repeated sample splitting	1
Estimation in a general mixture of Markov jump processes	1
Fused mean structure learning in data integration with dependence	1
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model	1
Optimal dividends for a NatCat insurer in the presence of a climate tipping point	1
Reducing bias due to misclassified exposures using instrumental variables	1
Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence	1
Doubly robust criterion for causal inference	1
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach	1
Dynamic treatment regimes with interference	1
Pretest and shrinkage estimators in generalized partially linear models with application to real data	1
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Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest	1
Penalized likelihood ratio test for a biomarker threshold effect in clinical trials based on generalized linear models	1
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models	1
Correction to “Matching distributions for survival data”	0
Rerandomization and optimal matching	0
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting	0
Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions	0
Robust causal inference for point exposures with missing confounders	0
Reweighted penalized regression for convenience samples	0
Issue Information	0
Complex statistical modelling for phylogenetic inference	0
Fourier methods for efficient sufficient dimension reduction in time series	0
Contrast tests for groups of functional data	0
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Issue Information	0
Robust reflections	0
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Causal inference for multiple treatments using fractional factorial designs	0
Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches	0
Constrained Bayes in multiplicative area‐level models under the precautionary loss function	0
General minimum lower‐order confounding three‐level split‐plot designs when the whole plot factors are important	0
Subuniformity of harmonic mean p$$ p $$‐values	0
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players	0
Joint analysis of longitudinal count and binary response data in the presence of outliers	0
Segment regression model average with multiple threshold variables and multiple structural breaks	0
Robust multitask feature learning with adaptive Huber regressions	0
Sample empirical likelihood methods for causal inference	0
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How to measure statistical evidence and its strength: Bayes factors or relative belief ratios?	0
Asymptotic properties of cross‐classified sampling designs	0
Efficient multiply robust imputation in the presence of influential units in surveys	0
Method of model checking for case II interval‐censored data under the additive hazards model	0
Random discrete probability measures based on a negative binomial process	0
Tests of linear hypotheses using indirect information	0
Editorial	0
PCA Rerandomization	0
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Predicting rare events using training data from stratified sampling designs, with application to human‐caused wildfire prediction	0
Testing for equality between conditional copulas given discretized conditioning events	0
Confidence sequences with composite likelihoods	0
Issue Information	0
Identifiability constraints in generalized additive models	0
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Tolerance bands for exponential family functional data	0
Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles	0
Order‐restricted hypothesis tests for nonlinear mixed‐effects models with measurement errors in covariates	0
An observation‐driven state‐space model for claims size modelling	0
Editorial	0
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Special issue on “Functional and object data analysis”: Guest Editor's introduction	0
Automatic structure recovery for generalized additive models	0
Sparse estimation of historical functional linear models with a nested group bridge approach	0
Penalized complexity priors for the skewness parameter of power links	0

Distributed sequential estimation procedures	0
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions	0
Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine tri	0
A new copula regression model for hierarchical data	0
From regression rank scores to robust inference for censored quantile regression	0
Sparse estimation within Pearson's system, with an application to financial market risk	0
Issue Information	0
The Canadian Statistical Sciences Institute 2003–2022	0
A hyperbolic divergence based nonparametric test for two‐sample multivariate distributions	0
Variable selection in additive models via hierarchical sparse penalty	0
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Restricted Tweedie stochastic block models	0
Receiver operating characteristic curve analysis with non‐ignorable missing disease status	0
A precision trial case study for heterogeneous treatment effects in obstructive sleep apnea	0
Distributed learning for kernel mode–based regression	0
Adaptive estimation for functional data: Using a framelet block‐thresholding method	0
Unweighted estimation based on optimal sample under measurement constraints	0
Pseudo empirical likelihood inference for nonprobability survey samples	0
A zero‐modified geometric INAR(1) model for analyzing count time series with multiple features	0
Issue Information	0
On the singular gamma, Wishart, and beta matrix‐variate density functions	0
Subgroup analysis for functional partial linear regression model	0
Unified inference for longitudinal/functional data quantile dynamic additive models	0
Weighted lens depth: Some applications to supervised classification	0
Tests for the first‐order stochastic dominance	0
Likelihood identifiability and parameter estimation with nonignorable missing data	0
Kernel estimation of average treatment effects in models with unmeasured confounders	0
Regression trees for interval‐censored failure time data based on censoring unbiased transformations and pseudo‐observations	0
Distributed estimation with empirical likelihood	0
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP	0
Modelling occurrence and quantity of longitudinal semicontinuous data simultaneously with nonparametric unobserved heterogeneity	0
Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed	0
Improved inference for a boundary parameter	0
Nonparametric tests for treatment effect heterogeneity in observational studies	0
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques	0
Efficient multiple change point detection for high‐dimensional generalized linear models	0
Robust nonparametric hypothesis tests for differences in the covariance structure of functional data	0
Bayesian weighted composite linear expectile regression	0
Special issue in honour of Nancy Reid: Guest Editors' introduction	0
Clustering spatial functional data using a geographically weighted Dirichlet process	0
Issue Information	0
New highly efficient high‐breakdown estimator of multivariate scatter and location for elliptical distributions	0
Introduction to the special issue on the 50th anniversary of CJS	0
Issue Information	0
A combined moment equation approach for spatial autoregressive models	0
A parameter transformation of the anisotropic Matérn covariance function	0
Two‐dimensional projection uniformity for space‐filling designs	0
Statistical data integration using multilevel models to predict employee compensation	0
Classified generalized linear mixed model prediction incorporating pseudo‐prior information	0
Subgroup analysis of linear models with measurement error	0
Variation pattern classification of functional data	0
Susceptible‐infected‐recovered model with stochastic transmission	0
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data	0
Fast and scalable inference for spatial extreme value models	0
Issue Information	0
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Variable selection in modelling clustered data via within‐cluster resampling	0
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Nonparametric confidence regions via the analytic wild bootstrap	0