OOIR: Observatory of International Research

Papers

(The TQCC of Statistics and Its Interface 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 2021-11-01 to 2025-11-01.)

Article	Citations
Heterogeneous treatment effect on survival endpoint in clinical trials via restricted mean survival time	29
On the optimal configuration of a square array group testing algorithm	9
A latent class selection model for categorical response variables with nonignorably missing data	8
Semi-supervised learning in unbalanced networks with heterogeneous degree	6
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India	6
Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies	5
Discussion of “Estimation of Hilbertian varying coefficient models”	5
On dual-asymmetry linear double AR models	4
A conditional semiparametric approach for the analysis of semi-competing risk data	4
Bayesian variable selection for semiparametric zero-inflated longitudinal count data in the presence of non-ignorable missingness	3
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm	3
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features	3
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models	3
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots	3
Model-based statistical depth for matrix data	2
Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies	2
Partial profile score feature selection in high-dimensional generalized linear interaction models	2
Community detection in temporal citation network via a tensor-based approach	2
A new type of double exponential Cox model with a gamma frailty	2
Generalized Gaussian time series model for increments of EEG data	2
Bayesian estimation for partially linear varying coefficient spatial autoregressive models	2
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data	2
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes	2
Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies	2
Default Bayesian testing for the zero-inflated Poisson distribution	2

Robust and covariance-assisted tensor response regression	2
A new $k$-nearest neighbors classifier for functional data	2
Composition estimation via shrinkage	2
Weakly informative priors and prior-data conflict checking for likelihood-free inference	2
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning	2
Testing threshold effect in single-index models	1
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review	1
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response	1
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India	1
Low-rank signal subspace: parameterization, projection and signal estimation	1
Bayesian tensor-on-tensor regression with efficient computation	1
The more data, the better? Demystifying deletion-based methods in linear regression with missing data	1
Compressing recurrent neural network models through principal component analysis	1
A comparative study of sequential detection procedures for transient signals in high dimensional data stream	1
Scalable and globally convergent algorithm for sufficient dimension reduction	1
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing	1
Link prediction via latent space logistic regression model	1
Robust conditional spectral analysis of replicated time series	1
Improved Naive Bayes with mislabeled data	1
A default Bayesian multiple comparison of two binomial proportions	1
Conjugate prior to the Wishart shape parameter: the generalized Gamcon distributions	1
Sparsity-restricted estimation for the accelerated failure time model	1
Estimation in exponential family regression based on linked data contaminated by mismatch error	1
A multivariate robust integrated test for genetic pleiotropy	1
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey	1
Multiple hypotheses testing on dependent count data with covariate effects	1
Modeling and identifiability of non-homogenous Poisson process cure rate model	1
Debiased distributed quantile regression in high dimensions	1
Subset selection of double-threshold moving average models through the application of the Bayesian method	1
Robust conditional spectral analysis of replicated time series	1
Sparse logistic regression on functional data	1
The elliptical Ornstein–Uhlenbeck process	1
Hierarchical dynamic PARCOR models for analysis of multiple brain signals	1
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies	1
Online change-point detection for a transient change	1
Low-rank signal subspace: parameterization, projection and signal estimation	1
A robust two-stage sequential design for estimating the effective range based on binary responses	1
A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing	1
Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data	1