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 2021-08-01 to 2025-08-01.)
ArticleCitations
Diagnostic analytics for the mixed Poisson INGARCH model with applications43
The efficient design of Nested Group Testing algorithms for disease identification in clustered data34
Shrinkage estimation of fixed and random effects in linear quantile mixed models29
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration25
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions24
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance21
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets20
Bayesian doubly robust estimation of causal effects for clustered observational data19
Tests of covariate effects under finite Gaussian mixture regression models16
A defective cure rate quantile regression model for male breast cancer data16
A non-linear integer-valued autoregressive model with zero-inflated data series15
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data15
Causal mediation analysis between resistance exercise and reduced risk of cardiovascular disease based on the Aerobics Center Longitudinal Study14
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable13
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-1913
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test12
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation11
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution11
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection10
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study9
A test for comparing conditional ROC curves with multidimensional covariates9
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data9
On detecting the effect of exposure mixture8
Influence diagnostics in the Heckman selection models based on EM algorithms8
Testing serial correlation in a general d -factor model with possible infinite variance8
A robust latent CUSUM chart for monitoring customer attrition8
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution7
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models7
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity7
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies7
Current status data with two competing risks and time-dependent missing failure types7
A control chart for bivariate discrete data monitoring7
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications7
Developing predictive precision medicine models by exploiting real-world data using machine learning methods6
Estimation for volunteer web survey samples using a model-averaging approach6
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?6
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates6
Inference for a discretized stochastic logistic differential equation and its application to biological growth6
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments6
Personalized treatment selection using observational data6
Forecasting a time series of Lorenz curves: one-way functional analysis of variance6
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap6
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data5
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data5
A fusion learning method to subgroup analysis of Alzheimer's disease5
Partially linear mixed effects model with measurement error in nonparametric part5
On regime changes of COVID-19 outbreak5
Depth-based statistical analysis in the spike train space5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector5
Functional distributional clustering using spatio-temporal data5
Detection and estimation of multiple transient changes5
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data5
A robust likelihood approach to inference for paired multiple binary endpoints data5
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients4
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics4
Complexities of information sources4
Spatial analysis for interval-valued data4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter4
Framework for constructing an optimal weighted score based on agreement4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic4
Confidence sets for dynamic poverty indexes4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies4
Estimating wildfire ignition probabilities with geographic weighted logistic regression3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation3
Multivariate meta-analysis with a robustified diagonal likelihood function3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images3
Curve fitting and jump detection on nonparametric regression with missing data3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures3
Estimating an executive summary of a time series: the tendency3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters3
Pearson's goodness-of-fit tests for sparse distributions3
A robust and efficient variable selection method for linear regression3
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall3
How reliable are the multiple comparison methods for odds ratio?3
Observed heterogeneity in players' football performance analysis using PLS-PM3
A multivariate randomized response model for mixed-type data3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation3
Anticipative Bayesian classification for data streams with verification latency3
Detecting statistical interactions in immune receptor data: a comparative study3
Epidemic change-point detection in general integer-valued time series3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection3
An improved LDA dimension reduction algorithm for multivariate time series classification3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach3
Insurance risk analysis using tempered stable subordinator3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions3
Understanding students' evaluations of professors using non-negative matrix factorization3
A principal-weighted penalized regression model and its application in economic modeling3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes3
A new regression model for rates and proportions data with applications3
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme3
Bootstrapping a powerful mixed portmanteau test for time series3
Assessing the impact of neighborhood structures in Bayesian disease mapping3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model3
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval2
A survival tree based on stabilized score tests for high-dimensional covariates2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering2
The functional gait deviation index2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic2
Influence networks: Bayesian modeling and diffusion2
A new factor analysis model for factors obeying a Gamma distribution2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables2
Estimation of world seroprevalence of SARS-CoV-2 antibodies2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets2
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
Estimating effects of time-varying exposures on mortality risk2
A family of bimodal distributions generated by distributions with positive support2
Multiresolution granger causality testing with variational mode decomposition: a python software2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches2
Estimation for time-varying coefficient smoothed quantile regression2
A semiparametric accelerated failure time-based mixture cure tree2
Post-shrinkage strategies in statistical and machine learning for high dimensional data2
A generalized l2,p-norm regression based feature selection algorithm2
Calibrating a simulated exposure distribution using measurement error models2
A family of non-parametric tests for the class of log-symmetric distributions2
Forward variable selection for random forest models2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach2
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization2
A novel two-way functional linear model with applications in human mortality data analysis2
Statistical methods for assessing drug interactions using observational data2
Bayesian approaches to variable selection in mixture models with application to disease clustering2
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems2
Three approaches to supervised learning for compositional data with pairwise logratios2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval2
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association2
Discriminant analysis for a folded Watson distribution2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR2
The modified slash Lindley–Weibull distribution with applications to nutrition data2
On parameter estimation of the standard omega distribution2
A Bayesian approach for de-duplication in the presence of relational data2
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models2
LPRE estimation for functional multiplicative model and optimal subsampling2
Reliability analysis based on doubly-truncated and interval-censored data2
Semiparametric model averaging prediction in nested case-control studies2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States2
Bayesian models for spatial count data with informative finite populations with application to the American community survey2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme2
Statistical inference for a relaxation index of stochastic dominance under density ratio model2
Multiple observers ranked set samples for shrinkage estimators2
Reparametrized generalized gamma partially linear regression with application to breast cancer data2
Testing the reliability of forecasting systems2
Derivation of a multivariate longitudinal causal effects model2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application2
Prediction models with graph kernel regularization for network data2
Imputed mean tensor regression for near-sited spatial temporal data2
Fast maximum likelihood estimation for general hierarchical models2
Model averaging estimation of panel data models with many instruments and boosting2
Alternative statistical modeling for radical prostatectomy data2
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