Statistics and Its Interface

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 2021-08-01 to 2025-08-01.)
ArticleCitations
Heterogeneous treatment effect on survival endpoint in clinical trials via restricted mean survival time27
On the optimal configuration of a square array group testing algorithm9
A latent class selection model for categorical response variables with nonignorably missing data7
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India5
A conditional semiparametric approach for the analysis of semi-competing risk data4
On dual-asymmetry linear double AR models4
Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies4
Semi-supervised learning in unbalanced networks with heterogeneous degree3
Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features3
Discussion of “Estimation of Hilbertian varying coefficient models”3
Bayesian variable selection for semiparametric zero-inflated longitudinal count data in the presence of non-ignorable missingness3
Model-based statistical depth for matrix data2
Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm2
Generalized Gaussian time series model for increments of EEG data2
Partial profile score feature selection in high-dimensional generalized linear interaction models2
Robust and covariance-assisted tensor response regression2
Markov-switching Poisson generalized autoregressive conditional heteroscedastic models2
Default Bayesian testing for the zero-inflated Poisson distribution2
A new $k$-nearest neighbors classifier for functional data2
Community detection in temporal citation network via a tensor-based approach2
Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots2
Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies2
Bayesian estimation for partially linear varying coefficient spatial autoregressive models2
Weakly informative priors and prior-data conflict checking for likelihood-free inference2
Low-rank signal subspace: parameterization, projection and signal estimation1
Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India1
Bayesian tensor-on-tensor regression with efficient computation1
Scalable and globally convergent algorithm for sufficient dimension reduction1
Compressing recurrent neural network models through principal component analysis1
Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies1
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data1
Online change-point detection for a transient change1
Quadratic upper bound algorithms for estimation under Cox model in case-cohort studies1
Uniform consistency for local fitting of time series non-parametric regression allowing for discrete-valued response1
Subset selection of double-threshold moving average models through the application of the Bayesian method1
Detection of signals by Monte Carlo singular spectrum analysis: multiple testing1
Estimation in exponential family regression based on linked data contaminated by mismatch error1
Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey1
Multiple hypotheses testing on dependent count data with covariate effects1
A new type of double exponential Cox model with a gamma frailty1
Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes1
The more data, the better? Demystifying deletion-based methods in linear regression with missing data1
Conjugate prior to the Wishart shape parameter: the generalized Gamcon distributions1
The elliptical Ornstein–Uhlenbeck process1
A default Bayesian multiple comparison of two binomial proportions1
A robust two-stage sequential design for estimating the effective range based on binary responses1
Modeling and identifiability of non-homogenous Poisson process cure rate model1
A comparative study of sequential detection procedures for transient signals in high dimensional data stream1
Low-rank signal subspace: parameterization, projection and signal estimation1
Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning1
Composition estimation via shrinkage1
A multivariate robust integrated test for genetic pleiotropy1
Hierarchical dynamic PARCOR models for analysis of multiple brain signals1
Sparse logistic regression on functional data1
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