Stat

Article	Citations
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	28
Reducing the statistical error of generative adversarial networks using space‐filling sampling	13
Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation	13
Controlling costs: Feature selection on a budget	12
	12
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues	9
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	7
On a new test of fit to the beta distribution	7
A cautionary note on the variance of empirical pair correlation function	7
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator	7
Development of network‐guided transcriptomic risk score for disease prediction	6
Multivariate tests for the multi‐sample location problem based on depth function	6
New bounds and search for maximin distance U‐type designs	6
Outlier robust model averaging based on Sp criterion	6
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	6
Deep learning models to predict primary open‐angle glaucoma	6
Modernizing k‐nearest neighbors	6
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts	5
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	5
Variational inference for the latent shrinkage position model	5
Finite mixture model of hidden Markov regression with covariate dependence	5
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data	5
Higher order asymptotic refinements in Bell regressions	5
Considerations in developing a financial model for an academic statistical consulting centre	4
Do good: Strategies for leading an inclusive data science or statistics consulting team	4

Issue Information	4
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	4
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	4
High‐dimensional differential networks with sparsity and reduced‐rank	4
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	4
Hierarchical modeling of irregularly spaced financial returns	4
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Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	4
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	4
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	3
Targeted deep learning: Framework, methods, and applications	3
A Discussion of “A Note on Universal Inference” by Tse and Davison	3
Exact confidence intervals for the difference of two proportions based on partially observed binary data	3
Test of independence for Hilbertian random variables	3
Observation‐driven exponential smoothing	3
Gaussian process regression and classification using International Classification of Disease codes as covariates	3
Dirichlet process mixture models using matrix‐generalized half‐t distribution	3
Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data	3
Bayesian hierarchical modeling on covariance valued data	3
High‐dimensional non‐parametric tests for linear asset pricing models	3
Spatial dynamic panel models with missing data	3
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	3
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	3
Bias analysis of generalized estimating equations under measurement error and practical bias correction	3
James–Stein estimation of the first principal component	2
Multilevel varying coefficient spatiotemporal model	2
Simultaneous confidence bands for nonparametric regression with equal cluster size	2
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	2
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution	2
Ensemble mapper	2
Sparse multivariate functional principal component analysis	2
A unified approach for outliers and influential data detection: The value of information in retrospect	2
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	2
Estimation of the ROC curve and the area under it with complex survey data	2
Information limits for detecting a subhypergraph	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	2
Trend filtering for functional data	2
Collaborative analysis for energy usage monitoring and management on a large university campus	2
Semiparametric Bayes instrumental variable estimation with many weak instruments	2
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	2
A mutual information criterion with applications to canonical correlation analysis and graphical models	2
Methods for building a staff workforce of quantitative scientists in academic health care	2
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention	2
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A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	2
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence	2
Bayesian Functional Region Selection	2
Fast estimators for the mean function for functional data with detection limits	2
Composite likelihood ratio testing under nonstandard conditions using tangent cones	2

How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study	2
Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method	2
Advice for isolated statisticians collaborating in academic healthcare centre settings	2
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	2
Community detection in attributed collaboration network for statisticians	2
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	2
Visualisation and outlier detection for probability density function ensembles	2
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	2
Matrix‐variate time series modelling with hidden Markov models	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	1
Statistical inference on group Rasch mixture network models	1
A skew‐tquantile regression for censored and missing data	1
On the non‐identifiability of unified skew‐normal distributions	1
Equity‐weighted bootstrapping: Examples and analysis	1
A sparse empirical Bayes approach to high‐dimensional Gaussian process‐based varying coefficient models	1
Comparison between continuous and periodic inspections in step‐stress tests	1
Linear regression analysis for interval‐valued functional data	1
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	1
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables	1
Multivariate measurement error models with normal mean‐variance mixture distributions	1
Issue Information	1
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	1
A general approximation to nested Bayes factors with informed priors	1
On a new higher order kernel for density estimation	1
On improvability of model averaging by penalized model selection	1
Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors	1
Random projections for quantile ridge regression	1
The academic collaborative statistician: Research, training and evaluation	1
A single index model for longitudinal outcomes to optimize individual treatment decision rules	1
Spectral analysis of networks with latent space dynamics and signs	1
Asymptotic normality and confidence region for Catoni's Z estimator	1
A method for obtaining efficient UE(s2)‐optimal two‐level supersaturated designs	1
Nonparametric regression with ordinal responses	1
SOAR: Simultaneous Or‐of‐And Rules for classification of positive and negative classes	1
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
Parametric nonstationary covariance functions on spheres	1
Covariate‐adaptive randomization with variable selection in clinical trials	1
Orthogonal designs with branching and nested factors	1
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data	1
Double verification for two‐sample covariance matrices test	1
Statistical learning for predicting density–matrix‐based electron dynamics	1
Documenting and communicating the contributions of embedded statisticians: Show me the value!	1
Nonparametric precedence chart with repetitive sampling	1
On the use of ordered factors as explanatory variables	1
An optimal exact interval for the risk ratio in the 2×2$$ 2\times 2 $$ table with structural zero	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Generalisation bounds for kernel PCA through PAC‐Bayes learning	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies	1
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	1
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization	1
Statistical inference for nonparametric censored regression	1
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	1
Equivalence testing for multiple groups	1
Least favourability of the uniform distribution for tests of the concavity of a distribution function	1
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	1
Covariance‐based low‐dimensional registration for function‐on‐function regression	1
Crafting statistical analysis plans: A cross‐discipline approach	1
Significance of modes in the torus by topological data analysis	1
An improved tensor regression model via location smoothing	1
Anomaly detection of time series correlations via a novel Lie group structure	1
A Corrected Score Function Framework for Modelling Circadian Gene Expression	1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	1
Model averaging‐based sufficient dimension reduction	1
The data science discovery program: A model for data science consulting in higher education	1
Robust index of confidence weighted learning for optimal individualized treatment rule estimation	1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models	1
Model selection for generalized linear models with weak factors	1
Optimal designs for crossover model with partial interactions	1
Graph sampling by lagged random walk	1
Goodness‐of‐fit test for semiparametric copula models with bivariate interval‐censored data	1
Computational procedures for quality assessment of latent concepts	1
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications	1
Deep spectral Q‐learning with application to mobile health	1
Homogeneity of marginal distributions for a large number of populations	1
Bayesian outcome selection modeling	1

A Discussion of “A Note on Universal Inference” by Tse and Davison	1
New mixed ranked set sampling variations	1
	1
Tractable Ridge Regression for Paired Comparisons	1
Graph spatial sampling	1
Design criteria for model discrimination in factorial experiments with potential failing runs	1
GEAR: On optimal decision making with auxiliary data	1
Sequential pathway inference for multimodal neuroimaging analysis	1
An EWMA sign chart for monitoring processes with fixed and variable sample sizes	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Bayesian nonparametric multiway regression for clustered binomial data	1