Journal of Applied Statistics

Papers
(The median citation count of Journal of Applied Statistics is 0. 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.)
ArticleCitations
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions49
The efficient design of Nested Group Testing algorithms for disease identification in clustered data43
A defective cure rate quantile regression model for male breast cancer data30
Diagnostic analytics for the mixed Poisson INGARCH model with applications26
Bayesian doubly robust estimation of causal effects for clustered observational data21
Comparison of predictive values with paired samples21
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance20
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable16
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test15
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets15
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data14
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-1914
A non-linear integer-valued autoregressive model with zero-inflated data series14
Tests of covariate effects under finite Gaussian mixture regression models13
Survival analysis for proportional odds model with network structure13
A robust latent CUSUM chart for monitoring customer attrition8
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration8
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments8
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study8
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation8
Inference for a discretized stochastic logistic differential equation and its application to biological growth8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data8
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution8
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 distribution7
Personalized treatment selection using observational data7
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications6
Estimation for volunteer web survey samples using a model-averaging approach6
Testing serial correlation in a general d -factor model with possible infinite variance6
A control chart for bivariate discrete data monitoring6
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies6
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity6
On detecting the effect of exposure mixture6
Developing predictive precision medicine models by exploiting real-world data using machine learning methods6
Influence diagnostics in the Heckman selection models based on EM algorithms5
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap5
An improved two-stage binary relevance method for multilabel classification5
Partially linear mixed effects model with measurement error in nonparametric part5
Bayesian survival modeling with mixtures of inverse Gaussian frailties5
A test for comparing conditional ROC curves with multidimensional covariates5
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data5
Functional distributional clustering using spatio-temporal data5
Current status data with two competing risks and time-dependent missing failure types5
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates5
Forecasting a time series of Lorenz curves: one-way functional analysis of variance5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector4
On regime changes of COVID-19 outbreak4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic4
Framework for constructing an optimal weighted score based on agreement4
Spatial analysis for interval-valued data4
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter4
Detection and estimation of multiple transient changes4
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data4
Detecting statistical interactions in immune receptor data: a comparative study4
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution4
A fusion learning method to subgroup analysis of Alzheimer's disease4
Depth-based statistical analysis in the spike train space4
A robust likelihood approach to inference for paired multiple binary endpoints data4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients4
Complexities of information sources4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection4
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures3
A principal-weighted penalized regression model and its application in economic modeling3
Curve fitting and jump detection on nonparametric regression with missing data3
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme3
Anticipative Bayesian classification for data streams with verification latency3
Insurance risk analysis using tempered stable subordinator3
Assessing the impact of neighborhood structures in Bayesian disease mapping3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse3
APCanalysis : an R package for identifying active factors using the APC method3
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall3
Epidemic change-point detection in general integer-valued time series3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation3
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies3
Multivariate meta-analysis with a robustified diagonal likelihood function3
Pearson's goodness-of-fit tests for sparse distributions3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method3
How reliable are the multiple comparison methods for odds ratio?3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection3
A multivariate randomized response model for mixed-type data3
Conformal prediction for frequency-severity modeling3
A review and comparison of methods of testing for heteroskedasticity in the linear regression model3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation3
Observed heterogeneity in players' football performance analysis using PLS-PM3
Statistical methods for assessing drug interactions using observational data2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems2
Estimation of world seroprevalence of SARS-CoV-2 antibodies2
Multiresolution granger causality testing with variational mode decomposition: a python software2
Alternative statistical modeling for radical prostatectomy data2
Three approaches to supervised learning for compositional data with pairwise logratios2
Estimating effects of time-varying exposures on mortality risk2
Bayesian analysis on single server Markovian queueing model with impatient customers2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application2
Fast maximum likelihood estimation for general hierarchical models2
Forward variable selection for random forest models2
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme2
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model2
A semiparametric accelerated failure time-based mixture cure tree2
An integer-valued spatial autoregressive model with application to COVID-19 counts2
Influence networks: Bayesian modeling and diffusion2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka2
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
Modeling multivariate ordinal time series2
Multiple observers ranked set samples for shrinkage estimators2
Imputed mean tensor regression for near-sited spatial temporal data2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval2
Estimating an executive summary of a time series: the tendency2
Discriminant analysis for a folded Watson distribution2
Bootstrapping a powerful mixed portmanteau test for time series2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering2
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme2
Sparse long-only Markowitz portfolio optimization2
Prediction models with graph kernel regularization for network data2
An improved LDA dimension reduction algorithm for multivariate time series classification2
Reparametrized generalized gamma partially linear regression with application to breast cancer data2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits2
A Bayesian approach for de-duplication in the presence of relational data2
Bayesian models for spatial count data with informative finite populations with application to the American community survey2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management2
Efficient spline orthogonal basis for representation of density functions2
A novel two-way functional linear model with applications in human mortality data analysis2
Derivation of a multivariate longitudinal causal effects model2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches2
Reliability analysis based on doubly-truncated and interval-censored data2
Estimation for time-varying coefficient smoothed quantile regression2
Estimating wildfire ignition probabilities with geographic weighted logistic regression2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions2
LPRE estimation for functional multiplicative model and optimal subsampling2
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic2
Bayesian semi-parametric approaches to normal/independent and elliptical distributions2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR2
Post-shrinkage strategies in statistical and machine learning for high dimensional data2
Calibrating a simulated exposure distribution using measurement error models2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model2
Cardinality-based sparse singular value decomposition for similarity matrices2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models2
Inference under balanced joint progressive type-II censoring scheme1
A new factor analysis model for factors obeying a Gamma distribution1
Comment on: Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples1
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity1
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner1
Iterative smoothing for change-point regression function estimation1
Fast inference for robust nonlinear mixed-effects models1
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model1
A flexible test for early-stage studies with multiple endpoints1
The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models1
Identifying outlying groups through residual analysis and its application to healthcare expenditure1
A unit-level one-inflated beta model for small area prediction of seat-belt use rates1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–20141
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models1
Testing exchangeability of multivariate distributions1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection1
Building forecasting model for interval time series based on point series and fuzzy relationships1
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI1
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults1
Multiple outlier detection in samples with exponential & Pareto tails1
Bayesian heterogeneity in a meta–analysis with two studies and binary data1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence1
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States1
A new method for estimating Sharpe ratio function via local maximum likelihood1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations1
Adjusted profile likelihood inference for the scale parameter of the Gumbel distribution1
A robust Bayesian latent position approach for community detection in networks with continuous attributes1
Developing optimal group acceptance sampling plans based on Weibull distribution with limited risks1
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables1
Editorial to the special issue: modern streaming data analytics1
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models1
Joint survival and longitudinal modelling for combined cohort data1
On parameter estimation of the standard omega distribution1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data1
Goodness-of-fit test for the one-sided Lévy distribution1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset1
A family of non-parametric tests for the class of log-symmetric distributions1
New results on optimal conditional error functions for adaptive two-stage designs1
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests1
New advances in statistics and data science New advances in statistics and data science , edited by Ding-Geng Chen, Gang Li, Aiyi Liu, Zhezhen Jin, Yi Li and Yichuan Zha1
Penalized functional regression using R package PFLR1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study1
A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South Korea*1
On the robustness of truncated negative binomial regression model: application to field epidemiology1
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014–20201
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models1
Order selection in GARMA models for count time series: a Bayesian perspective1
Rapid online plant leaf area change detection with high-throughput plant image data1
Rollout designs for lump-sum data1
A gradient boosting decision tree based estimation method for the mixture cure model1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data1
Estimating software reliability using size-biased modelling1
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-191
A novel ranked k -nearest neighbors algorithm for missing data imputation1
An optimal subsampling design for large-scale Cox model with censored data1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates1
Semiparametric model averaging prediction in nested case-control studies1
Variable targeting and reduction in large vector autoregressions with applications to workforce indicators1
Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations1
Semiparametric analysis of competing risks data with missing causes of failure and covariate measurement error1
Model averaging estimation of panel data models with many instruments and boosting1
A partitioned weighted moving average control chart1
The functional gait deviation index1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring1
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval1
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States1
Instrumental variable estimation for functional concurrent regression models1
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models1
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts1
Regression-based rectangular tolerance regions as reference regions in laboratory medicine1
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data1
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes1
Goodness-of-fit inference for the additive hazards regression model with clustered current status data1
Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data1
A robust distance-based approach for detecting multidimensional outliers1
Bayesian factor selection in a hybrid approach to confirmatory factor analysis1
Variable selection in linear-circular regression models1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis1
Correction Notice1
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy1
Generalised random tessellation stratified sampling over auxiliary spaces1
Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution1
Correction Notice1
Prediction and model evaluation for space–time data1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification1
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence1
A computationally efficient sequential regression imputation algorithm for multilevel data1
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization1
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