OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Applied Statistics is 2. 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
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	49
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	43
A defective cure rate quantile regression model for male breast cancer data	30
Diagnostic analytics for the mixed Poisson INGARCH model with applications	26
Bayesian doubly robust estimation of causal effects for clustered observational data	21
Comparison of predictive values with paired samples	21
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	20
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	16
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	15
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	15
A non-linear integer-valued autoregressive model with zero-inflated data series	14
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	14
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	14
Tests of covariate effects under finite Gaussian mixture regression models	13
Survival analysis for proportional odds model with network structure	13
A robust latent CUSUM chart for monitoring customer attrition	8
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	8
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	8
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	8
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	8
Inference for a discretized stochastic logistic differential equation and its application to biological growth	8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	8
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	8
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	7
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	7

Personalized treatment selection using observational data	7
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	6
Estimation for volunteer web survey samples using a model-averaging approach	6
Testing serial correlation in a general d -factor model with possible infinite variance	6
A control chart for bivariate discrete data monitoring	6
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies	6
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	6
On detecting the effect of exposure mixture	6
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	6
Current status data with two competing risks and time-dependent missing failure types	5
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates	5
Forecasting a time series of Lorenz curves: one-way functional analysis of variance	5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	5
Influence diagnostics in the Heckman selection models based on EM algorithms	5
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	5
An improved two-stage binary relevance method for multilabel classification	5
Partially linear mixed effects model with measurement error in nonparametric part	5
Bayesian survival modeling with mixtures of inverse Gaussian frailties	5
A test for comparing conditional ROC curves with multidimensional covariates	5
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	5
Functional distributional clustering using spatio-temporal data	5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	4
On regime changes of COVID-19 outbreak	4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	4
Framework for constructing an optimal weighted score based on agreement	4
Spatial analysis for interval-valued data	4
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	4
Detection and estimation of multiple transient changes	4
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance	4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution	4
A fusion learning method to subgroup analysis of Alzheimer's disease	4
Depth-based statistical analysis in the spike train space	4
A robust likelihood approach to inference for paired multiple binary endpoints data	4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	4
Complexities of information sources	4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection	4
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
A principal-weighted penalized regression model and its application in economic modeling	3
How reliable are the multiple comparison methods for odds ratio?	3
Curve fitting and jump detection on nonparametric regression with missing data	3
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	3
Anticipative Bayesian classification for data streams with verification latency	3

Insurance risk analysis using tempered stable subordinator	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	3
Epidemic change-point detection in general integer-valued time series	3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Pearson's goodness-of-fit tests for sparse distributions	3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
A multivariate randomized response model for mixed-type data	3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	3
APCanalysis : an R package for identifying active factors using the APC method	3
Conformal prediction for frequency-severity modeling	3
A review and comparison of methods of testing for heteroskedasticity in the linear regression model	3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
Imputed mean tensor regression for near-sited spatial temporal data	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Estimating an executive summary of a time series: the tendency	2
Discriminant analysis for a folded Watson distribution	2
Bootstrapping a powerful mixed portmanteau test for time series	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Sparse long-only Markowitz portfolio optimization	2
Prediction models with graph kernel regularization for network data	2
An improved LDA dimension reduction algorithm for multivariate time series classification	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	2
A Bayesian approach for de-duplication in the presence of relational data	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management	2
Efficient spline orthogonal basis for representation of density functions	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Derivation of a multivariate longitudinal causal effects model	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Estimation for time-varying coefficient smoothed quantile regression	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Estimating wildfire ignition probabilities with geographic weighted logistic regression	2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Bayesian semi-parametric approaches to normal/independent and elliptical distributions	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Calibrating a simulated exposure distribution using measurement error models	2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Statistical methods for assessing drug interactions using observational data	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Alternative statistical modeling for radical prostatectomy data	2
Estimating effects of time-varying exposures on mortality risk	2
Three approaches to supervised learning for compositional data with pairwise logratios	2
Bayesian analysis on single server Markovian queueing model with impatient customers	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Fast maximum likelihood estimation for general hierarchical models	2
Forward variable selection for random forest models	2
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	2
A semiparametric accelerated failure time-based mixture cure tree	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
Influence networks: Bayesian modeling and diffusion	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
Finding groups in data: an introduction to cluster analysis Finding groups in data: an introduction to cluster analysis , authored by Leonard Kaufman and Peter J. Rousse	2
Modeling multivariate ordinal time series	2
Multiple observers ranked set samples for shrinkage estimators	2