OOIR: Observatory of International Research

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 2020-05-01 to 2024-05-01.)

Article	Citations
K‐fold cross‐validation for complex sample surveys	18
Estimation of the mean function of functional data via deep neural networks	11
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm	10
Community detection with nodal information: Likelihood and its variational approximation	10
Bayesian group learning for shot selection of professional basketball players	8
Fast covariance parameter estimation of spatial Gaussian process models using neural networks	7
Robust penalized M‐estimation for function‐on‐function linear regression	6
Functional singular spectrum analysis	5
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	5
On the error in Laplace approximations of high‐dimensional integrals	5
Modern multiple imputation with functional data	5
A note on universal inference	5
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution	5
Non‐parametric regression for networks	4
Gradual variance change point detection with a smoothly changing mean trend	4
A skew‐t quantile regression for censored and missing data	4
MuSP: A multistep screening procedure for sparse recovery	4
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting	4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications	4
Normalized power priors always discount historical data	4
Fast model‐based clustering of partial records	4
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies	4
RankFromSets: Scalable set recommendation with optimal recall	3
Sparse covariance matrix estimation for ultrahigh dimensional data	3
A multivariate normal approximation for the Dirichlet density and some applications	3

A mutual information criterion with applications to canonical correlation analysis and graphical models	3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC	3
Statistical significance calculations for scenarios in visual inference	3
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences	3
Forecasting hurricane‐related power outages via locally optimized random forests	3
Directional analysis for point patterns on linear networks	3
Parametric nonstationary covariance functions on spheres	3
Matrix‐variate time series modelling with hidden Markov models	3
On a new test of fit to the beta distribution	3
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data	3
An algorithm for distributed Bayesian inference	3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	3
Information limits for detecting a subhypergraph	3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	3
Detecting changes in mean in the presence of time‐varying autocovariance	2
Asymptotic normality and confidence region for Catoni's Z estimator	2
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts	2
Regularization paths of L₁‐penalized ROC Curve‐Optimizing Support Vector Machines	2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data	2
A fast algorithm for integrative community detection of multi‐layer networks	2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data	2
Multilevel joint modeling of hospitalization and survival in patients on dialysis	2
A constrained minimum method for model selection	2
Novel whitening approaches in functional settings	2
Improving image classification robustness using self‐supervision	2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston	2
Criticism as asynchronous collaboration: An example from social science research	2
Robust index of confidence weighted learning for optimal individualized treatment rule estimation	2
Ensemble mapper	2
Dirichlet process mixture models with shrinkage prior	2
Trend filtering for functional data	2
Variable selection with LASSO regression for complex survey data	2
Sparse multivariate functional principal component analysis	2
Finite mixture model of hidden Markov regression with covariate dependence	2
Outcome weighted ψ‐learning for individualized treatment rules	2
Content‐adjusted tolerance intervals via bootstrap calibration	2
Refined double sampling scheme with measures and application	2
Asking great questions	2
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model	2
When will gradient methods converge to max‐margin classifier under ReLU models?	2
Linear regression analysis for interval‐valued functional data	2
Anomaly detection of time series correlations via a novel Lie group structure	2
Better nonparametric confidence intervals via robust bias correction for quantile regression	2
Community detection in attributed collaboration network for statisticians	2
Composite likelihood ratio testing under nonstandard conditions using tangent cones	2
Statistical consulting in the healthcare professions: A model of student‐led consulting services	2
Fast estimators for the mean function for functional data with detection limits	2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	2
A machine learning approach to classification for traders in financial markets	2
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error	2

On the estimation bias in first‐order bifurcating autoregressive models	2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices	2
Nonparametric precedence chart with repetitive sampling	2
Controlling costs: Feature selection on a budget	1
Chain rules for multivariate cumulant coefficients	1
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence	1
Bias correction for nonignorable missing counts of areal HIV new diagnosis	1
Optimal non‐circular designs for total effects under interference models	1
	1
CORRIGENDUM	1
Spectral analysis of networks with latent space dynamics and signs	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
The effect of rebalancing on LDA in imbalanced classification	1
Bayesian outcome selection modeling	1
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data	1
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data	1
On improvability of model averaging by penalized model selection	1
Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders	1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’	1
Model‐based clustering of semiparametric temporal exponential‐family random graph models	1
Sequential pathway inference for multimodal neuroimaging analysis	1
On estimating the selected treatment mean under a two‐stage adaptive design	1
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	1
Multilevel varying coefficient spatiotemporal model	1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	1
Advice for isolated statisticians collaborating in academic healthcare centre settings	1
Mediation analysis with latent factors using simultaneous group‐wise and parameter‐wise penalization	1
Expectile regression via deep residual networks	1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator	1
Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers	1
Sub‐asymptotic motivation for new conditional multivariate extreme models	1
Hosting a data science hackathon with limited resources	1
Efficient basis selection for smoothing splines via rotated lattices	1
Linear screening for high‐dimensional computer experiments	1
Count‐valued time series models for COVID‐19 daily death dynamics	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
Computational procedures for quality assessment of latent concepts	1
Data visualization case studies for high‐dimensional data validation	1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	1
On a new class of tests for the Pareto distribution using Fourier methods	1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Homogeneity of marginal distributions for a large number of populations	1
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations	1
James–Stein estimation of the first principal component	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
Developing partnerships for academic data science consulting and collaboration units	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
	1
Composite smoothed quantile regression	1
Modernizing k‐nearest neighbors	1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence	1
Functional time series forecasting: Functional singular spectrum analysis approaches	1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues	1
F‐type testing in functional linear models	1
Least favourability of the uniform distribution for tests of the concavity of a distribution function	1
Better together: Extending JMP^® with open‐source software	1
Learning about an academic statistical consulting center through data	1
New mixed ranked set sampling variations	1
Issue Information	1
Bayesian optimality and intervals for Stein‐type estimates	1
Mode merging for the finite mixture of t‐distributions	1
Mann–Whitney test for two‐phase stratified sampling	1
Multivariate measurement error models with normal mean‐variance mixture distributions	1
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models	1
Nonparametric regression with ordinal responses	1
Dissecting the 2015 Chinese stock market crash	1
The academic collaborative statistician: Research, training and evaluation	1
A comprehensive survey of collaborative biostatistics units in academic health centers	1
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Joint estimation of gradual variance changepoint for panel data with common structures	1