Journal of Applied Statistics

Article	Citations
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	47
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	34
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	28
A defective cure rate quantile regression model for male breast cancer data	23
Diagnostic analytics for the mixed Poisson INGARCH model with applications	22
Comparison of predictive values with paired samples	21
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	20
Bayesian doubly robust estimation of causal effects for clustered observational data	20
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	17
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	15
Survival analysis for proportional odds model with network structure	14
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	14
Tests of covariate effects under finite Gaussian mixture regression models	13
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	10
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling	9
A non-linear integer-valued autoregressive model with zero-inflated data series	9
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	8
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	8
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effect	8
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	8
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	8
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	8
A test for comparing conditional ROC curves with multidimensional covariates	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	7

Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	7
Estimation for volunteer web survey samples using a model-averaging approach	7
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	7
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies	6
Bayesian survival modeling with mixtures of inverse Gaussian frailties	6
Testing serial correlation in a general d -factor model with possible infinite variance	6
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	6
Inference for a discretized stochastic logistic differential equation and its application to biological growth	6
On detecting the effect of exposure mixture	6
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	6
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
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	5
Bayesian singular value decomposition procedure based on the horseshoe prior	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
Partially linear mixed effects model with measurement error in nonparametric part	5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	5
Current status data with two competing risks and time-dependent missing failure types	5
A robust latent CUSUM chart for monitoring customer attrition	5
A control chart for bivariate discrete data monitoring	5
An improved two-stage binary relevance method for multilabel classification	5
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	5
A fusion learning method to subgroup analysis of Alzheimer's disease	4
Alternative tests for one-way ANCOVA under heteroscedasticity	4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	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
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	4
Depth-based statistical analysis in the spike train space	4
Forecasting a time series of Lorenz curves: one-way functional analysis of variance	4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection	4
Complexities of information sources	4
Conformal prediction for frequency-severity modeling	4
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	4
Detection and estimation of multiple transient changes	4
On regime changes of COVID-19 outbreak	4
A robust likelihood approach to inference for paired multiple binary endpoints data	4
Framework for constructing an optimal weighted score based on agreement	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Spatial analysis for interval-valued data	4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	4
A review and comparison of methods of testing for heteroskedasticity in the linear regression model	3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	3
Density-based clustering method with adaptive neighbors	3
Anticipative Bayesian classification for data streams with verification latency	3
A principal-weighted penalized regression model and its application in economic modeling	3
Insurance risk analysis using tempered stable subordinator	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3

A multivariate randomized response model for mixed-type data	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
Predictive modeling of corticosteroids sensitivity in sepsis using a supervised learning approach	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
APCanalysis : an R package for identifying active factors using the APC method	3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	3
Bayesian semi-parametric approaches to normal/independent and elliptical distributions	3
How reliable are the multiple comparison methods for odds ratio?	3
An improved LDA dimension reduction algorithm for multivariate time series classification	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
Classification of multivariate functional data with an application to ADHD fMRI data	3
Three approaches to supervised learning for compositional data with pairwise logratios	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
Epidemic change-point detection in general integer-valued time series	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
Estimation for time-varying coefficient smoothed quantile regression	2
Alternative statistical modeling for radical prostatectomy data	2
Estimating wildfire ignition probabilities with geographic weighted logistic regression	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	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
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
A Bayesian approach for de-duplication in the presence of relational data	2
Statistical methods for assessing drug interactions using observational data	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Model averaging estimation of panel data models with many instruments and boosting	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	2
Estimating an executive summary of a time series: the tendency	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
A new factor analysis model for factors obeying a Gamma distribution	2
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	2
Imputed mean tensor regression for near-sited spatial temporal data	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
Modeling extreme events in the presence of inliers: a mixture approach	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Fast maximum likelihood estimation for general hierarchical models	2
A semiparametric accelerated failure time-based mixture cure tree	2
Bootstrapping a powerful mixed portmanteau test for time series	2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Evidence in directional data coming from circular normal distribution	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Multiple observers ranked set samples for shrinkage estimators	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Modeling multivariate ordinal time series	2
Forward variable selection for random forest models	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
Observed heterogeneity in players' football performance analysis using PLS-PM	2
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	2
Sparse long-only Markowitz portfolio optimization	2
Efficient spline orthogonal basis for representation of density functions	2
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	2
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	2
Prediction models with graph kernel regularization for network data	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2
Estimating effects of time-varying exposures on mortality risk	2
Bayesian analysis on single server Markovian queueing model with impatient customers	2
Derivation of a multivariate longitudinal causal effects model	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2

An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
Discriminant analysis for a folded Watson distribution	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
Calibrating a simulated exposure distribution using measurement error models	2
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization	2
Influence networks: Bayesian modeling and diffusion	2
On parameter estimation of the standard omega distribution	2
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	1
An efficient estimation approach to joint modeling of longitudinal and survival data	1
Testing exchangeability of multivariate distributions	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
Building forecasting model for interval time series based on point series and fuzzy relationships	1
Fast inference for robust nonlinear mixed-effects models	1
A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience	1
A gradient boosting decision tree based estimation method for the mixture cure model	1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations	1
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts	1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults	1
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes	1
An optimal subsampling design for large-scale Cox model with censored data	1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data	1
Adjusted profile likelihood inference for the scale parameter of the Gumbel distribution	1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	1
Inference under balanced joint progressive type-II censoring scheme	1
Correction Notice	1
Iterative smoothing for change-point regression function estimation	1
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014–2020	1
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process	1
A family of non-parametric tests for the class of log-symmetric distributions	1
A computationally efficient sequential regression imputation algorithm for multilevel data	1
Goodness-of-fit inference for the additive hazards regression model with clustered current status data	1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model	1
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	1
Nonparametric tolerance intervals controlling percentages in both tails and simultaneous testing of quantiles	1
Identifying outlying groups through residual analysis and its application to healthcare expenditure	1
Towards a unified test for the intercept of autoregressive models	1
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data	1
Rollout designs for lump-sum data	1
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach	1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1
Goodness-of-fit test for the one-sided Lévy distribution	1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	1
New results on optimal conditional error functions for adaptive two-stage designs	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
A novel ranked k -nearest neighbors algorithm for missing data imputation	1
Editorial to the special issue: modern streaming data analytics	1
A partitioned weighted moving average control chart	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
Rapid online plant leaf area change detection with high-throughput plant image data	1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring	1
Semiparametric model averaging prediction in nested case-control studies	1
Comment on: Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples	1
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference	1
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting	1
Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan	1
On the robustness of truncated negative binomial regression model: application to field epidemiology	1
Variable targeting and reduction in large vector autoregressions with applications to workforce indicators	1
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	1
A longitudinal study of the influence of air pollutants on children: a robust multivariate approach	1
Generalised random tessellation stratified sampling over auxiliary spaces	1
Fractional Poisson process for modeling extreme values in financial data using the ABC methodology in parameter estimation	1
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	1
Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations	1
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19	1
A flexible test for early-stage studies with multiple endpoints	1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy	1
Model-based joint curve registration and classification	1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014	1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification	1
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil	1
Semiparametric analysis of competing risks data with missing causes of failure and covariate measurement error	1
Correction Notice	1
Variable selection in linear-circular regression models	1
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States	1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates	1
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance	1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	1
The functional gait deviation index	1
Joint survival and longitudinal modelling for combined cohort data	1
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	1
Penalized functional regression using R package PFLR	1
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 Zha	1
Developing optimal group acceptance sampling plans based on Weibull distribution with limited risks	1
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	1
A new method for estimating Sharpe ratio function via local maximum likelihood	1