Stat

Papers
(The median citation count of Stat is 0. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
K‐fold cross‐validation for complex sample surveys18
Estimation of the mean function of functional data via deep neural networks11
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm9
Community detection with nodal information: Likelihood and its variational approximation9
Bayesian group learning for shot selection of professional basketball players8
Fast covariance parameter estimation of spatial Gaussian process models using neural networks6
Functional singular spectrum analysis5
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution5
Robust penalized M‐estimation for function‐on‐function linear regression5
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring5
On the error in Laplace approximations of high‐dimensional integrals4
A note on universal inference4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications4
MuSP: A multistep screening procedure for sparse recovery4
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting4
Modern multiple imputation with functional data4
Gradual variance change point detection with a smoothly changing mean trend4
Non‐parametric regression for networks4
Fast model‐based clustering of partial records4
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies4
A skew‐t quantile regression for censored and missing data4
Normalized power priors always discount historical data4
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences3
Forecasting hurricane‐related power outages via locally optimized random forests3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics3
RankFromSets: Scalable set recommendation with optimal recall3
On a new test of fit to the beta distribution3
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data3
Sparse covariance matrix estimation for ultrahigh dimensional data3
A mutual information criterion with applications to canonical correlation analysis and graphical models3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature3
Matrix‐variate time series modelling with hidden Markov models3
An algorithm for distributed Bayesian inference3
Directional analysis for point patterns on linear networks3
Parametric nonstationary covariance functions on spheres3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC3
Ensemble mapper2
Fast estimators for the mean function for functional data with detection limits2
Better nonparametric confidence intervals via robust bias correction for quantile regression2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data2
Composite likelihood ratio testing under nonstandard conditions using tangent cones2
Outcome weighted ψ‐learning for individualized treatment rules2
Statistical significance calculations for scenarios in visual inference2
Novel whitening approaches in functional settings2
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error2
On the estimation bias in first‐order bifurcating autoregressive models2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices2
When will gradient methods converge to max‐margin classifier under ReLU models?2
Robust index of confidence weighted learning for optimal individualized treatment rule estimation2
Asymptotic normality and confidence region for Catoni's Z estimator2
Trend filtering for functional data2
Information limits for detecting a subhypergraph2
Variable selection with LASSO regression for complex survey data2
Finite mixture model of hidden Markov regression with covariate dependence2
A machine learning approach to classification for traders in financial markets2
Multilevel joint modeling of hospitalization and survival in patients on dialysis2
Refined double sampling scheme with measures and application2
Improving image classification robustness using self‐supervision2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston2
A multivariate normal approximation for the Dirichlet density and some applications2
Anomaly detection of time series correlations via a novel Lie group structure2
Detecting changes in mean in the presence of time‐varying autocovariance2
Dirichlet process mixture models with shrinkage prior2
Community detection in attributed collaboration network for statisticians2
Sparse multivariate functional principal component analysis2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data2
A fast algorithm for integrative community detection of multi‐layer networks2
A constrained minimum method for model selection2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data2
Content‐adjusted tolerance intervals via bootstrap calibration2
Asking great questions2
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model2
Criticism as asynchronous collaboration: An example from social science research2
Linear regression analysis for interval‐valued functional data2
CORRIGENDUM1
Controlling costs: Feature selection on a budget1
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials1
Statistical consulting in the healthcare professions: A model of student‐led consulting services1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Mode merging for the finite mixture of t‐distributions1
Issue Information1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues1
Computational procedures for quality assessment of latent concepts1
Mann–Whitney test for two‐phase stratified sampling1
On improvability of model averaging by penalized model selection1
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’1
On estimating the selected treatment mean under a two‐stage adaptive design1
Joint estimation of gradual variance changepoint for panel data with common structures1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression1
Expectile regression via deep residual networks1
Sub‐asymptotic motivation for new conditional multivariate extreme models1
Chain rules for multivariate cumulant coefficients1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence1
Linear screening for high‐dimensional computer experiments1
F‐type testing in functional linear models1
Multilevel varying coefficient spatiotemporal model1
Efficient basis selection for smoothing splines via rotated lattices1
Advice for isolated statisticians collaborating in academic healthcare centre settings1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors1
Multi‐split conformal prediction via Cauchy aggregation1
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy1
The effect of rebalancing on LDA in imbalanced classification1
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Multivariate measurement error models with normal mean‐variance mixture distributions1
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models1
Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders1
The academic collaborative statistician: Research, training and evaluation1
Dissecting the 2015 Chinese stock market crash1
Developing partnerships for academic data science consulting and collaboration units1
Composite smoothed quantile regression1
Functional time series forecasting: Functional singular spectrum analysis approaches1
Least favourability of the uniform distribution for tests of the concavity of a distribution function1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence1
James–Stein estimation of the first principal component1
New mixed ranked set sampling variations1
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines1
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Learning about an academic statistical consulting center through data1
Modernizing k‐nearest neighbors1
Bayesian optimality and intervals for Stein‐type estimates1
Count‐valued time series models for COVID‐19 daily death dynamics1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator1
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data1
Data visualization case studies for high‐dimensional data validation1
Hosting a data science hackathon with limited resources1
Nonparametric precedence chart with repetitive sampling1
On a new class of tests for the Pareto distribution using Fourier methods1
Nonparametric regression with ordinal responses1
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations1
Sequential pathway inference for multimodal neuroimaging analysis1
Model‐based clustering of semiparametric temporal exponential‐family random graph models1
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models1
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching1
Optimal non‐circular designs for total effects under interference models1
Spectral analysis of networks with latent space dynamics and signs1
Bias correction for nonignorable missing counts of areal HIV new diagnosis1
Multivariate tests for the multi‐sample location problem based on depth function1
Nonparanormal graph quilting with applications to calcium imaging0
High‐dimensional non‐parametric tests for linear asset pricing models0
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions0
Statistical inference on group Rasch mixture network models0
Optimal non‐circular designs for interference models0
Bias analysis of generalized estimating equations under measurement error and practical bias correction0
On the non‐identifiability of unified skew‐normal distributions0
A single index model for longitudinal outcomes to optimize individual treatment decision rules0
Covariance‐based low‐dimensional registration for function‐on‐function regression0
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study0
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs0
Visualisation and outlier detection for probability density function ensembles0
Bayesian nonparametric multiway regression for clustered binomial data0
Gaussian process regression and classification using International Classification of Disease codes as covariates0
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
An improved tensor regression model via location smoothing0
Spatial dynamic panel models with missing data0
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Some non‐parametric regression models for interval‐valued functional data0
Observation‐driven exponential smoothing0
Comparison between continuous and periodic inspections in step‐stress tests0
Comparison of attributed network clustering approaches to analysing Seoul public bike stations0
Causal inference in the presence of missing data using a random forest‐based matching algorithm0
Regularized Buckley–James method for right‐censored outcomes with block‐missing multimodal covariates0
Better together: Extending JMP® with open‐source software0
New bounds and search for maximin distance U‐type designs0
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan0
A cautionary note on the variance of empirical pair correlation function0
Visual tests for elliptically symmetric distributions0
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics0
Equivalence testing for multiple groups0
Statistical learning for predicting density–matrix‐based electron dynamics0
Issue Information0
Design criteria for model discrimination in factorial experiments with potential failing runs0
Orthogonal designs with branching and nested factors0
Persistently trained, diffusion‐assisted energy‐based models0
Test of independence for Hilbertian random variables0
Homogeneity of marginal distributions for a large number of populations0
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization0
A modified partial envelope tensor response regression0
A unified approach for outliers and influential data detection: The value of information in retrospect0
Bayesian outcome selection modeling0
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician0
A method for obtaining efficient UE(s2)‐optimal two‐level supersaturated designs0
Simultaneous confidence bands for nonparametric regression with equal cluster size0
A general approximation to nested Bayes factors with informed priors0
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis0
Statistical inference for nonparametric censored regression0
Semi‐parametric generalized linear model for binomial data with varying cluster sizes0
On a new higher order kernel for density estimation0
Targeted deep learning: Framework, methods, and applications0
Issue Information0
VtNet: A neural network with variable importance assessment0
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models0
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization0
Allocation of COVID‐19 testing budget on a commute network of counties0
Estimating average treatment effect on the treated via sufficient dimension reduction0
An EWMA sign chart for monitoring processes with fixed and variable sample sizes0
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data0
Convergence rate for nonparametric quantile regression with a total variation penalty0
An integral model for high‐accuracy and low‐accuracy experiments0
Bayesian inference for polycrystalline materials0
Development of network‐guided transcriptomic risk score for disease prediction0
Extrapolation in parametric models with Laplace measurement error0
Outlier robust model averaging based on Sp criterion0
Optimal designs for crossover model with partial interactions0
Reducing the statistical error of generative adversarial networks using space‐filling sampling0
Significance of modes in the torus by topological data analysis0
Equity‐weighted bootstrapping: Examples and analysis0
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously0
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data0
On the use of ordered factors as explanatory variables0
Graph sampling by lagged random walk0
A latent space accumulator model for response time: Applications to cognitive assessment data0
Higher order asymptotic refinements in Bell regressions0
Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors0
Covariate‐adaptive randomization with variable selection in clinical trials0
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution0
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space0
Deep spectral Q‐learning with application to mobile health0
Crafting statistical analysis plans: A cross‐discipline approach0
GEAR: On optimal decision making with auxiliary data0
Exact confidence intervals for the difference of two proportions based on partially observed binary data0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises0
Estimation of the ROC curve and the area under it with complex survey data0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
Random projections for quantile ridge regression0
Bayesian hierarchical modeling on covariance valued data0
Goodness‐of‐fit test for semiparametric copula models with bivariate interval‐censored data0
A divide‐and‐conquer algorithm for core‐periphery identification in large networks0
Dirichlet process mixture models using matrix‐generalized half‐t distribution0
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables0
Estimation of the average treatment effect on the treated with misclassified binary outcome0
Low‐rank approximation for smoothing spline via eigensystem truncation0
A note on centering in subsample selection for linear regression0
Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data0
Visualizing the food landscape of Durham, North Carolina0
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data0
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach0
Semiparametric Bayes instrumental variable estimation with many weak instruments0
Deep learning models to predict primary open‐angle glaucoma0
High‐dimensional precision matrix estimation with a known graphical structure0
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets0
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns0
Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation0
An asymptotically efficient closed‐form estimator for the Dirichlet distribution0
Model averaging‐based sufficient dimension reduction0
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