Journal of Applied Statistics

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 2022-06-01 to 2026-06-01.)
ArticleCitations
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions43
Bayesian doubly robust estimation of causal effects for clustered observational data30
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance29
Diagnostic analytics for the mixed Poisson INGARCH model with applications27
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable26
Survival analysis for proportional odds model with network structure23
Tests of covariate effects under finite Gaussian mixture regression models19
A non-linear integer-valued autoregressive model with zero-inflated data series17
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation12
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets11
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effect10
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test10
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution9
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling9
A defective cure rate quantile regression model for male breast cancer data9
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data9
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data8
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications8
Comparison of predictive values with paired samples8
Estimation for volunteer web survey samples using a model-averaging approach7
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap7
Current status data with two competing risks and time-dependent missing failure types7
Testing serial correlation in a general d -factor model with possible infinite variance7
Developing predictive precision medicine models by exploiting real-world data using machine learning methods7
Influence diagnostics in the Heckman selection models based on EM algorithms6
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies6
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data6
A novel partially linear varying coefficient model with diagnostic analysis for the Birnbaum-Saunders distribution: application to real-world air pollution data6
Bayesian singular value decomposition procedure based on the horseshoe prior6
A test for comparing conditional ROC curves with multidimensional covariates6
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study6
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments6
A control chart for bivariate discrete data monitoring6
Bayesian survival modeling with mixtures of inverse Gaussian frailties6
On regime changes of COVID-19 outbreak5
Depth-based statistical analysis in the spike train space5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data5
Fast algorithms of computing admissible intervals for discrete distributions with single parameter5
Detection and estimation of multiple transient changes5
Forecasting a time series of Lorenz curves: one-way functional analysis of variance5
An improved two-stage binary relevance method for multilabel classification5
Semi-supervised inference for false negatives using zero-inflated Bernoulli regression in case-control studies5
Partially linear mixed effects model with measurement error in nonparametric part5
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic5
Alternative tests for one-way ANCOVA under heteroscedasticity5
A generalized sigmoidal quantile function approach to smoothed quantile regression5
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data5
A robust likelihood approach to inference for paired multiple binary endpoints data5
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics5
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance4
A principal-weighted penalized regression model and its application in economic modeling4
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme4
Identifying regime switches through Bayesian wavelet estimation: application to environmental and genetic data4
Classification of multivariate functional data with an application to ADHD fMRI data4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection4
A review and comparison of methods of testing for heteroskedasticity in the linear regression model4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies4
A multivariate randomized response model for mixed-type data4
How reliable are the multiple comparison methods for odds ratio?4
Conformal prediction for frequency-severity modeling4
Complexities of information sources4
Predictive modeling of corticosteroids sensitivity in sepsis using a supervised learning approach4
Detecting statistical interactions in immune receptor data: a comparative study4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients4
Direct nonparametric predictive inference classification trees4
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images4
Spatial analysis for interval-valued data4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution4
Framework for constructing an optimal weighted score based on agreement4
Modeling heterogeneity and serial correlation of non-life insurance policyholders using a GLM–HMM framework4
Epidemic change-point detection in general integer-valued time series3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model3
Anticipative Bayesian classification for data streams with verification latency3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes3
Multivariate meta-analysis with a robustified diagonal likelihood function3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation3
Assessing the impact of neighborhood structures in Bayesian disease mapping3
APCanalysis : an R package for identifying active factors using the APC method3
Observed heterogeneity in players' football performance analysis using PLS-PM3
Density-based clustering method with adaptive neighbors3
Sparse long-only Markowitz portfolio optimization3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data3
Insurance risk analysis using tempered stable subordinator3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse3
Estimating wildfire ignition probabilities with geographic weighted logistic regression3
Inference for error-prone count data: estimation under a binomial convolution framework2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management2
Reparametrized generalized gamma partially linear regression with application to breast cancer data2
An improved LDA dimension reduction algorithm for multivariate time series classification2
Estimating effects of time-varying exposures on mortality risk2
Three approaches to supervised learning for compositional data with pairwise logratios2
Correction2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme2
Alternative statistical modeling for radical prostatectomy data2
Cardinality-based sparse singular value decomposition for similarity matrices2
Estimation of world seroprevalence of SARS-CoV-2 antibodies2
A Bayesian approach for de-duplication in the presence of relational data2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods2
Calibrating a simulated exposure distribution using measurement error models2
A new factor analysis model for factors obeying a Gamma distribution2
Efficient Bayesian variable selection with reversible jump MCMC in imaging genetics: an application to schizophrenia2
Deep learning for the joint analysis of item-level longitudinal and survival data2
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. Rousse2
Multiresolution granger causality testing with variational mode decomposition: a python software2
F-score for medical diagnostics tests under tree or umbrella ordering: proposing new measures of accuracy and optimal cut-off point selection2
Multiple observers ranked set samples for shrinkage estimators2
Mixture models for U.S. agricultural land and its growth rate2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR2
Bootstrapping a powerful mixed portmanteau test for time series2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application2
Bayesian semi-parametric approaches to normal/independent and elliptical distributions2
Estimation for time-varying coefficient smoothed quantile regression2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach2
Bayesian latent ising model for joint microbial and metabolomic network inference2
On parameter estimation of the standard omega distribution2
Reliability analysis based on doubly-truncated and interval-censored data2
Evidence in directional data coming from circular normal distribution2
EM algorithms and parameter estimation methods for a Beta-Uniform mixture model with application in multiple comparisons2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model2
Modeling multivariate ordinal time series2
Fast maximum likelihood estimation for general hierarchical models2
Statistical methods for assessing drug interactions using observational data2
An integer-valued spatial autoregressive model with application to COVID-19 counts2
Discriminant analysis for a folded Watson distribution2
Bayesian analysis on single server Markovian queueing model with impatient customers2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions2
Influence networks: Bayesian modeling and diffusion2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering2
Imputed mean tensor regression for near-sited spatial temporal data2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model2
A semiparametric accelerated failure time-based mixture cure tree2
Post-shrinkage strategies in statistical and machine learning for high dimensional data2
Semiparametric model averaging prediction in nested case-control studies2
LPRE estimation for functional multiplicative model and optimal subsampling2
Modeling extreme events in the presence of inliers: a mixture approach2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance2
Forward variable selection for random forest models2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables2
A novel two-way functional linear model with applications in human mortality data analysis2
Derivation of a multivariate longitudinal causal effects model2
Estimating an executive summary of a time series: the tendency2
A marginalized three-part interrupted time series regression model for proportional data2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models2
Efficient spline orthogonal basis for representation of density functions2
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