Stat

Article	Citations
K‐fold cross‐validation for complex sample surveys	24
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm	12
Estimation of the mean function of functional data via deep neural networks	12
Fast covariance parameter estimation of spatial Gaussian process models using neural networks	11
Bayesian group learning for shot selection of professional basketball players	11
Community detection with nodal information: Likelihood and its variational approximation	10
A comprehensive survey of collaborative biostatistics units in academic health centers	7
The academic collaborative statistician: Research, training and evaluation	7
A note on universal inference	7
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	7
Modern multiple imputation with functional data	7
On the error in Laplace approximations of high‐dimensional integrals	6
Robust penalized M‐estimation for function‐on‐function linear regression	6
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data	6
Advice for isolated statisticians collaborating in academic healthcare centre settings	6
Variable selection with LASSO regression for complex survey data	6
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting	6
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution	6
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error	5
A skew‐tquantile regression for censored and missing data	5
MuSP: A multistep screening procedure for sparse recovery	5
Functional singular spectrum analysis	5
Gradual variance change point detection with a smoothly changing mean trend	5
Normalized power priors always discount historical data	5
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies	5

Information limits for detecting a subhypergraph	4
Statistical significance calculations for scenarios in visual inference	4
Non‐parametric regression for networks	4
A multivariate normal approximation for the Dirichlet density and some applications	4
Community detection in attributed collaboration network for statisticians	4
Fast model‐based clustering of partial records	4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications	4
Matrix‐variate time series modelling with hidden Markov models	4
An algorithm for distributed Bayesian inference	4
Statistical consulting in the healthcare professions: A model of student‐led consulting services	3
Forecasting hurricane‐related power outages via locally optimized random forests	3
Asking great questions	3
Directional analysis for point patterns on linear networks	3
Nonparametric precedence chart with repetitive sampling	3
A mutual information criterion with applications to canonical correlation analysis and graphical models	3
Trend filtering for functional data	3
On a new test of fit to the beta distribution	3
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences	3
Sparse covariance matrix estimation for ultrahigh dimensional data	3
On the estimation bias in first‐order bifurcating autoregressive models	3
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Detecting changes in mean in the presence of time‐varying autocovariance	3
	3
A fast algorithm for integrative community detection of multi‐layer networks	3
RankFromSets: Scalable set recommendation with optimal recall	3
Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers	3
Novel whitening approaches in functional settings	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model	3
Parametric nonstationary covariance functions on spheres	3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	3
Multilevel joint modeling of hospitalization and survival in patients on dialysis	3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC	3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	3
Finite mixture model of hidden Markov regression with covariate dependence	2
Content‐adjusted tolerance intervals via bootstrap calibration	2
The effect of rebalancing on LDA in imbalanced classification	2
A localized ensemble of approximate Gaussian processes for fast sequential emulation	2
Outcome weighted ψ‐learning for individualized treatment rules	2
Linear screening for high‐dimensional computer experiments	2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data	2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices	2
Model‐based clustering of semiparametric temporal exponential‐family random graph models	2
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data	2
Anomaly detection of time series correlations via a novel Lie group structure	2
Dirichlet process mixture models with shrinkage prior	2
Fast estimators for the mean function for functional data with detection limits	2
Sparse multivariate functional principal component analysis	2
Better nonparametric confidence intervals via robust bias correction for quantile regression	2
Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders	2

Improving image classification robustness using self‐supervision	2
Learning about an academic statistical consulting center through data	2
Criticism as asynchronous collaboration: An example from social science research	2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston	2
A machine learning approach to classification for traders in financial markets	2
Bayesian outcome selection modeling	2
A constrained minimum method for model selection	2
Robust index of confidence weighted learning for optimal individualized treatment rule estimation	2
Linear regression analysis for interval‐valued functional data	2
Estimation of the ROC curve and the area under it with complex survey data	2
Composite likelihood ratio testing under nonstandard conditions using tangent cones	2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data	2
Refined double sampling scheme with measures and application	2
On a new class of tests for the Pareto distribution using Fourier methods	2
Developing partnerships for academic data science consulting and collaboration units	2
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines	2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models	2
When will gradient methods converge to max‐margin classifier under ReLU models?	2
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations	2
On improvability of model averaging by penalized model selection	2
Asymptotic normality and confidence region for Catoni's Z estimator	2
Ensemble mapper	2
Modernizing k‐nearest neighbors	2
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts	2
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Efficient basis selection for smoothing splines via rotated lattices	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
Reducing the statistical error of generative adversarial networks using space‐filling sampling	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
New mixed ranked set sampling variations	1
On estimating the selected treatment mean under a two‐stage adaptive design	1
Double verification for two‐sample covariance matrices test	1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	1
Low‐rank approximation for smoothing spline via eigensystem truncation	1
Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes	1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	1
Mediation analysis with latent factors using simultaneous group‐wise and parameter‐wise penalization	1
Joint estimation of gradual variance changepoint for panel data with common structures	1
Equivalence testing for multiple groups	1
A trinomial difference autoregressive model and its applications	1
Composite smoothed quantile regression	1
Mode merging for the finite mixture of t‐distributions	1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence	1
High‐dimensional precision matrix estimation with a known graphical structure	1
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention	1
Semiparametric Bayes instrumental variable estimation with many weak instruments	1
A note on centering in subsample selection for linear regression	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
Bayesian optimality and intervals for Stein‐type estimates	1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator	1
Count‐valued time series models for COVID‐19 daily death dynamics	1
Optimal non‐circular designs for total effects under interference models	1
Hosting a data science hackathon with limited resources	1
Dissecting the 2015 Chinese stock market crash	1
Least favourability of the uniform distribution for tests of the concavity of a distribution function	1
Asymptotic tail properties of Poisson mixture distributions	1
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	1
Flexible multivariate zero to k inflated power series regression model with applications	1
On the non‐identifiability of unified skew‐normal distributions	1
High‐dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time	1
Multivariate measurement error models with normal mean‐variance mixture distributions	1
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	1
Homogeneity of marginal distributions for a large number of populations	1
On pairwise interaction multivariate Pareto models	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
On the use of ordered factors as explanatory variables	1
Data visualization case studies for high‐dimensional data validation	1
Estimation of the average treatment effect on the treated with misclassified binary outcome	1
Nonparametric regression with ordinal responses	1
Chain rules for multivariate cumulant coefficients	1
Expectile regression via deep residual networks	1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence	1
James–Stein estimation of the first principal component	1
CORRIGENDUM	1
Sub‐asymptotic motivation for new conditional multivariate extreme models	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data	1

Softplus negative binomial network autoregression	1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues	1
Issue Information	1
Functional time series forecasting: Functional singular spectrum analysis approaches	1
Controlling costs: Feature selection on a budget	1
The art of transfer learning: An adaptive and robust pipeline	1
Spectral analysis of networks with latent space dynamics and signs	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
A general approximation to nested Bayes factors with informed priors	1
Bayesian group sequential designs for cluster‐randomized trials	1
Computational procedures for quality assessment of latent concepts	1
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood	1
Covariate‐adaptive randomization with variable selection in clinical trials	1
A learning analytics case study: On class sizes in undergraduate writing courses	1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’	1
F‐type testing in functional linear models	1
An integral representation for inverse moments of multivariate random variables	1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models	1
Biostatistics deserts and scholarly productivity among US medical schools	1
Maximum a posteriori estimation in graphical models using local linear approximation	1
Sequential pathway inference for multimodal neuroimaging analysis	1
Inference for joint quantile and expected shortfall regression	1
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	1
Similarity‐based clustering for patterns of extreme values	1
Multilevel varying coefficient spatiotemporal model	1
Multi‐split conformal prediction via Cauchy aggregation	1
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	1
Better together: Extending JMP® with open‐source software	1
Bias correction for nonignorable missing counts of areal HIV new diagnosis	1
Image registration for zooming: A statistically consistent local feature mapping approach	1
Considerations in developing a financial model for an academic statistical consulting centre	0
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	0
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	0
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study	0
Deep learning models to predict primary open‐angle glaucoma	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	0
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	0
A Discussion of “A Note on Universal Inference” by Tse and Davison	0
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables	0
Targeted deep learning: Framework, methods, and applications	0
Estimating average treatment effect on the treated via sufficient dimension reduction	0
Observation‐driven exponential smoothing	0
Visualizing the food landscape of Durham, North Carolina	0
Bias analysis of generalized estimating equations under measurement error and practical bias correction	0
Statistical learning for predicting density–matrix‐based electron dynamics	0
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	0
Orthogonal designs with branching and nested factors	0
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	0
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Visualisation and outlier detection for probability density function ensembles	0
Crafting statistical analysis plans: A cross‐discipline approach	0
Variational inference for the latent shrinkage position model	0
A unified approach for outliers and influential data detection: The value of information in retrospect	0
New bounds and search for maximin distance U‐type designs	0
Simultaneous confidence bands for nonparametric regression with equal cluster size	0
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	0
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	0
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	0
A cautionary note on the variance of empirical pair correlation function	0
Optimal designs for crossover model with partial interactions	0
Bayesian hierarchical modeling on covariance valued data	0
Causal inference in the presence of missing data using a random forest‐based matching algorithm	0
High‐dimensional non‐parametric tests for linear asset pricing models	0
Visual tests for elliptically symmetric distributions	0
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	0
Equity‐weighted bootstrapping: Examples and analysis	0
Issue Information	0
Graph sampling by lagged random walk	0
High‐dimensional differential networks with sparsity and reduced‐rank	0
Methods for building a staff workforce of quantitative scientists in academic health care	0
A single index model for longitudinal outcomes to optimize individual treatment decision rules	0
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	0
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	0
Higher order asymptotic refinements in Bell regressions	0
Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method	0
Development of network‐guided transcriptomic risk score for disease prediction	0
Exact confidence intervals for the difference of two proportions based on partially observed binary data	0
Outlier robust model averaging based on Sp criterion	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization	0
Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data	0
Bayesian inference for polycrystalline materials	0
Comparison between continuous and periodic inspections in step‐stress tests	0
Spatial dynamic panel models with missing data	0
Convergence rate for nonparametric quantile regression with a total variation penalty	0
Test of independence for Hilbertian random variables	0
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	0
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	0
Model averaging‐based sufficient dimension reduction	0
Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation	0
Statistical inference on group Rasch mixture network models	0
Hierarchical modeling of irregularly spaced financial returns	0
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How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	0