Stat

Papers
(The TQCC of Stat is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
K‐fold cross‐validation for complex sample surveys24
Estimation of the mean function of functional data via deep neural networks12
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm12
Bayesian group learning for shot selection of professional basketball players11
Fast covariance parameter estimation of spatial Gaussian process models using neural networks11
Community detection with nodal information: Likelihood and its variational approximation10
A note on universal inference7
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring7
Modern multiple imputation with functional data7
A comprehensive survey of collaborative biostatistics units in academic health centers7
The academic collaborative statistician: Research, training and evaluation7
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data6
Advice for isolated statisticians collaborating in academic healthcare centre settings6
Variable selection with LASSO regression for complex survey data6
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting6
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution6
On the error in Laplace approximations of high‐dimensional integrals6
Robust penalized M‐estimation for function‐on‐function linear regression6
MuSP: A multistep screening procedure for sparse recovery5
Functional singular spectrum analysis5
Gradual variance change point detection with a smoothly changing mean trend5
Normalized power priors always discount historical data5
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies5
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error5
A skew‐tquantile regression for censored and missing data5
A multivariate normal approximation for the Dirichlet density and some applications4
Community detection in attributed collaboration network for statisticians4
Fast model‐based clustering of partial records4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications4
Matrix‐variate time series modelling with hidden Markov models4
An algorithm for distributed Bayesian inference4
Information limits for detecting a subhypergraph4
Statistical significance calculations for scenarios in visual inference4
Non‐parametric regression for networks4
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences3
Sparse covariance matrix estimation for ultrahigh dimensional data3
On the estimation bias in first‐order bifurcating autoregressive models3
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Detecting changes in mean in the presence of time‐varying autocovariance3
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A fast algorithm for integrative community detection of multi‐layer networks3
RankFromSets: Scalable set recommendation with optimal recall3
Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers3
Novel whitening approaches in functional settings3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model3
Parametric nonstationary covariance functions on spheres3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics3
Multilevel joint modeling of hospitalization and survival in patients on dialysis3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature3
Statistical consulting in the healthcare professions: A model of student‐led consulting services3
Forecasting hurricane‐related power outages via locally optimized random forests3
Asking great questions3
Directional analysis for point patterns on linear networks3
Nonparametric precedence chart with repetitive sampling3
A mutual information criterion with applications to canonical correlation analysis and graphical models3
Trend filtering for functional data3
On a new test of fit to the beta distribution3
Sparse multivariate functional principal component analysis2
Better nonparametric confidence intervals via robust bias correction for quantile regression2
Improving image classification robustness using self‐supervision2
On a new class of tests for the Pareto distribution using Fourier methods2
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines2
Criticism as asynchronous collaboration: An example from social science research2
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston2
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations2
Bayesian outcome selection modeling2
Robust index of confidence weighted learning for optimal individualized treatment rule estimation2
Linear regression analysis for interval‐valued functional data2
Estimation of the ROC curve and the area under it with complex survey data2
Composite likelihood ratio testing under nonstandard conditions using tangent cones2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data2
Refined double sampling scheme with measures and application2
Developing partnerships for academic data science consulting and collaboration units2
The effect of rebalancing on LDA in imbalanced classification2
Outcome weighted ψ‐learning for individualized treatment rules2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data2
When will gradient methods converge to max‐margin classifier under ReLU models?2
Model‐based clustering of semiparametric temporal exponential‐family random graph models2
On improvability of model averaging by penalized model selection2
Asymptotic normality and confidence region for Catoni's Z estimator2
Ensemble mapper2
Modernizing k‐nearest neighbors2
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts2
Finite mixture model of hidden Markov regression with covariate dependence2
Content‐adjusted tolerance intervals via bootstrap calibration2
Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders2
Learning about an academic statistical consulting center through data2
A localized ensemble of approximate Gaussian processes for fast sequential emulation2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data2
Linear screening for high‐dimensional computer experiments2
A machine learning approach to classification for traders in financial markets2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices2
A constrained minimum method for model selection2
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data2
Anomaly detection of time series correlations via a novel Lie group structure2
Dirichlet process mixture models with shrinkage prior2
Fast estimators for the mean function for functional data with detection limits2
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data1
Data visualization case studies for high‐dimensional data validation1
Softplus negative binomial network autoregression1
Multivariate tests for the multi‐sample location problem based on depth function1
Issue Information1
Chain rules for multivariate cumulant coefficients1
Functional time series forecasting: Functional singular spectrum analysis approaches1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues1
The art of transfer learning: An adaptive and robust pipeline1
Spectral analysis of networks with latent space dynamics and signs1
Controlling costs: Feature selection on a budget1
A Discussion of “A Note on Universal Inference” by Tse and Davison1
A general approximation to nested Bayes factors with informed priors1
Bayesian group sequential designs for cluster‐randomized trials1
Computational procedures for quality assessment of latent concepts1
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood1
Covariate‐adaptive randomization with variable selection in clinical trials1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’1
A learning analytics case study: On class sizes in undergraduate writing courses1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models1
An integral representation for inverse moments of multivariate random variables1
Sequential pathway inference for multimodal neuroimaging analysis1
Maximum a posteriori estimation in graphical models using local linear approximation1
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data1
Similarity‐based clustering for patterns of extreme values1
Multi‐split conformal prediction via Cauchy aggregation1
F‐type testing in functional linear models1
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials1
Multilevel varying coefficient spatiotemporal model1
Bias correction for nonignorable missing counts of areal HIV new diagnosis1
Biostatistics deserts and scholarly productivity among US medical schools1
Image registration for zooming: A statistically consistent local feature mapping approach1
Better together: Extending JMP® with open‐source software1
Efficient basis selection for smoothing splines via rotated lattices1
Inference for joint quantile and expected shortfall regression1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors1
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The virtual consulting company: Teaching statistical consulting through simulated experience1
New mixed ranked set sampling variations1
Reducing the statistical error of generative adversarial networks using space‐filling sampling1
On estimating the selected treatment mean under a two‐stage adaptive design1
Double verification for two‐sample covariance matrices test1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression1
Low‐rank approximation for smoothing spline via eigensystem truncation1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy1
Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes1
Equivalence testing for multiple groups1
Joint estimation of gradual variance changepoint for panel data with common structures1
Mode merging for the finite mixture of t‐distributions1
Composite smoothed quantile regression1
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention1
High‐dimensional precision matrix estimation with a known graphical structure1
Semiparametric Bayes instrumental variable estimation with many weak instruments1
Mediation analysis with latent factors using simultaneous group‐wise and parameter‐wise penalization1
A note on centering in subsample selection for linear regression1
Changing presidential approval: Detecting and understanding change points in interval censored polling data1
A trinomial difference autoregressive model and its applications1
Bayesian optimality and intervals for Stein‐type estimates1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Count‐valued time series models for COVID‐19 daily death dynamics1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence1
Optimal non‐circular designs for total effects under interference models1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator1
Dissecting the 2015 Chinese stock market crash1
Least favourability of the uniform distribution for tests of the concavity of a distribution function1
Hosting a data science hackathon with limited resources1
Asymptotic tail properties of Poisson mixture distributions1
The student staffing advantage: Data Science Consulting Service at NC State University Libraries1
Flexible multivariate zero to k inflated power series regression model with applications1
On the non‐identifiability of unified skew‐normal distributions1
High‐dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time1
Multivariate measurement error models with normal mean‐variance mixture distributions1
Homogeneity of marginal distributions for a large number of populations1
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models1
On the use of ordered factors as explanatory variables1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model1
Nonparametric regression with ordinal responses1
Estimation of the average treatment effect on the treated with misclassified binary outcome1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence1
Expectile regression via deep residual networks1
CORRIGENDUM1
On pairwise interaction multivariate Pareto models1
Sub‐asymptotic motivation for new conditional multivariate extreme models1
James–Stein estimation of the first principal component1
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