Stat

Article	Citations
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	24
RankFromSets: Scalable set recommendation with optimal recall	13
Reducing the statistical error of generative adversarial networks using space‐filling sampling	12
Controlling costs: Feature selection on a budget	11
Hosting a data science hackathon with limited resources	11
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Bayesian inference for polycrystalline materials	7
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator	7
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues	7
A cautionary note on the variance of empirical pair correlation function	7
On a new test of fit to the beta distribution	7
Deep learning models to predict primary open‐angle glaucoma	6
Better together: Extending JMP® with open‐source software	6
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	6
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	6
Better nonparametric confidence intervals via robust bias correction for quantile regression	6
Multivariate tests for the multi‐sample location problem based on depth function	6
Outlier robust model averaging based on Sp criterion	6
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	5
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data	5
Development of network‐guided transcriptomic risk score for disease prediction	5
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC	5
Variational inference for the latent shrinkage position model	5
New bounds and search for maximin distance U‐type designs	5
Finite mixture model of hidden Markov regression with covariate dependence	5

Higher order asymptotic refinements in Bell regressions	5
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Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation	4
Hierarchical modeling of irregularly spaced financial returns	4
Considerations in developing a financial model for an academic statistical consulting centre	4
Methods for building a staff workforce of quantitative scientists in academic health care	4
High‐dimensional differential networks with sparsity and reduced‐rank	4
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	4
Do good: Strategies for leading an inclusive data science or statistics consulting team	4
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	4
Collaborative analysis for energy usage monitoring and management on a large university campus	3
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	3
Bayesian hierarchical modeling on covariance valued data	3
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	3
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	3
Targeted deep learning: Framework, methods, and applications	3
Test of independence for Hilbertian random variables	3
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	3
Simultaneous confidence bands for nonparametric regression with equal cluster size	3
Multilevel varying coefficient spatiotemporal model	3
Spatial dynamic panel models with missing data	3
High‐dimensional non‐parametric tests for linear asset pricing models	3
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	3
Bias analysis of generalized estimating equations under measurement error and practical bias correction	3
A Discussion of “A Note on Universal Inference” by Tse and Davison	3
Gaussian process regression and classification using International Classification of Disease codes as covariates	3
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study	3
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts	3
Observation‐driven exponential smoothing	3
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	3
Issue Information	3
Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data	3
Dirichlet process mixture models using matrix‐generalized half‐t distribution	3
Exact confidence intervals for the difference of two proportions based on partially observed binary data	3
Advice for isolated statisticians collaborating in academic healthcare centre settings	2
Sequential pathway inference for multimodal neuroimaging analysis	2
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence	2
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications	2
Modernizing k‐nearest neighbors	2
Nonparametric regression with ordinal responses	2
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	2
Sparse multivariate functional principal component analysis	2
Fast estimators for the mean function for functional data with detection limits	2
Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method	2
A fast algorithm for integrative community detection of multi‐layer networks	2
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A unified approach for outliers and influential data detection: The value of information in retrospect	2
Visualizing the food landscape of Durham, North Carolina	2
Equivalence testing for multiple groups	2
Matrix‐variate time series modelling with hidden Markov models	2

Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	2
Multilevel joint modeling of hospitalization and survival in patients on dialysis	2
Dirichlet process mixture models with shrinkage prior	2
Semiparametric Bayes instrumental variable estimation with many weak instruments	2
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
A mutual information criterion with applications to canonical correlation analysis and graphical models	2
Trend filtering for functional data	2
Visualisation and outlier detection for probability density function ensembles	2
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	2
Causal inference in the presence of missing data using a random forest‐based matching algorithm	2
Creating optimal conditions for reproducible data analysis in R with ‘fertile’	2
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution	2
On the use of ordered factors as explanatory variables	2
Estimation of the ROC curve and the area under it with complex survey data	2
Visual tests for elliptically symmetric distributions	2
Statistical significance calculations for scenarios in visual inference	2
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data	2
James–Stein estimation of the first principal component	2
Community detection in attributed collaboration network for statisticians	2
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	2
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention	2
Composite likelihood ratio testing under nonstandard conditions using tangent cones	2
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	2
Information limits for detecting a subhypergraph	2
Convergence rate for nonparametric quantile regression with a total variation penalty	2
Gradual variance change point detection with a smoothly changing mean trend	2
Estimating average treatment effect on the treated via sufficient dimension reduction	1
Bayesian nonparametric multiway regression for clustered binomial data	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
Crafting statistical analysis plans: A cross‐discipline approach	1
Covariance‐based low‐dimensional registration for function‐on‐function regression	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	1
Least favourability of the uniform distribution for tests of the concavity of a distribution function	1
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	1
On improvability of model averaging by penalized model selection	1
Anomaly detection of time series correlations via a novel Lie group structure	1
Low‐rank approximation for smoothing spline via eigensystem truncation	1
The data science discovery program: A model for data science consulting in higher education	1
Parametric nonstationary covariance functions on spheres	1
Documenting and communicating the contributions of embedded statisticians: Show me the value!	1
Detecting changes in mean in the presence of time‐varying autocovariance	1
Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors	1
Bayesian outcome selection modeling	1
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization	1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
Asymptotic normality and confidence region for Catoni's Z estimator	1
Issue Information	1
Linear regression analysis for interval‐valued functional data	1
VtNet: A neural network with variable importance assessment	1
A Corrected Score Function Framework for Modelling Circadian Gene Expression	1
Graph sampling by lagged random walk	1
Spectral analysis of networks with latent space dynamics and signs	1
A skew‐tquantile regression for censored and missing data	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Covariate‐adaptive randomization with variable selection in clinical trials	1
GEAR: On optimal decision making with auxiliary data	1
Design criteria for model discrimination in factorial experiments with potential failing runs	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
An EWMA sign chart for monitoring processes with fixed and variable sample sizes	1
Statistical inference on group Rasch mixture network models	1
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	1
A general approximation to nested Bayes factors with informed priors	1
Model averaging‐based sufficient dimension reduction	1
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	1
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	1
Computational procedures for quality assessment of latent concepts	1
A sparse empirical Bayes approach to high‐dimensional Gaussian process‐based varying coefficient models	1
Double verification for two‐sample covariance matrices test	1
Equity‐weighted bootstrapping: Examples and analysis	1
Multivariate measurement error models with normal mean‐variance mixture distributions	1
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Graph spatial sampling	1
On a new higher order kernel for density estimation	1
Optimal designs for crossover model with partial interactions	1
New mixed ranked set sampling variations	1
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	1
Homogeneity of marginal distributions for a large number of populations	1

A Discussion of “A Note on Universal Inference” by Tse and Davison	1
An improved tensor regression model via location smoothing	1
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	1
Model selection for generalized linear models with weak factors	1
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	1
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables	1
Comparison between continuous and periodic inspections in step‐stress tests	1
A method for obtaining efficient UE(s2)‐optimal two‐level supersaturated designs	1
Deep spectral Q‐learning with application to mobile health	1
A single index model for longitudinal outcomes to optimize individual treatment decision rules	1
Robust penalized M‐estimation for function‐on‐function linear regression	1
Orthogonal designs with branching and nested factors	1
On the non‐identifiability of unified skew‐normal distributions	1
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices	1
Statistical learning for predicting density–matrix‐based electron dynamics	1
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies	1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	1
The academic collaborative statistician: Research, training and evaluation	1
An optimal exact interval for the risk ratio in the 2×2$$ 2\times 2 $$ table with structural zero	1
Nonparametric precedence chart with repetitive sampling	1
Robust index of confidence weighted learning for optimal individualized treatment rule estimation	1
Significance of modes in the torus by topological data analysis	1
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs	1
Tractable Ridge Regression for Paired Comparisons	1
Goodness‐of‐fit test for semiparametric copula models with bivariate interval‐censored data	1
Mode merging for the finite mixture of t‐distributions	1
Random projections for quantile ridge regression	1
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	1
Ensemble mapper	1
Statistical inference for nonparametric censored regression	1
Generalisation bounds for kernel PCA through PAC‐Bayes learning	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1