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	43
Bayesian doubly robust estimation of causal effects for clustered observational data	30
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	29
Diagnostic analytics for the mixed Poisson INGARCH model with applications	27
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	26
Survival analysis for proportional odds model with network structure	23
Tests of covariate effects under finite Gaussian mixture regression models	19
A non-linear integer-valued autoregressive model with zero-inflated data series	17
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	12
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	11
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effect	10
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	10
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	9
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling	9
A defective cure rate quantile regression model for male breast cancer data	9
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	9
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	8
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	8
Comparison of predictive values with paired samples	8
Estimation for volunteer web survey samples using a model-averaging approach	7
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	7
Current status data with two competing risks and time-dependent missing failure types	7
Testing serial correlation in a general d -factor model with possible infinite variance	7
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	7

A control chart for bivariate discrete data monitoring	6
Bayesian survival modeling with mixtures of inverse Gaussian frailties	6
Influence diagnostics in the Heckman selection models based on EM algorithms	6
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies	6
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	6
A novel partially linear varying coefficient model with diagnostic analysis for the Birnbaum-Saunders distribution: application to real-world air pollution data	6
Bayesian singular value decomposition procedure based on the horseshoe prior	6
A test for comparing conditional ROC curves with multidimensional covariates	6
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	6
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	6
On regime changes of COVID-19 outbreak	5
Depth-based statistical analysis in the spike train space	5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	5
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	5
Detection and estimation of multiple transient changes	5
Forecasting a time series of Lorenz curves: one-way functional analysis of variance	5
An improved two-stage binary relevance method for multilabel classification	5
Semi-supervised inference for false negatives using zero-inflated Bernoulli regression in case-control studies	5
Partially linear mixed effects model with measurement error in nonparametric part	5
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	5
Alternative tests for one-way ANCOVA under heteroscedasticity	5
A generalized sigmoidal quantile function approach to smoothed quantile regression	5
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	5
A robust likelihood approach to inference for paired multiple binary endpoints data	5
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	5
Framework for constructing an optimal weighted score based on agreement	4
Modeling heterogeneity and serial correlation of non-life insurance policyholders using a GLM–HMM framework	4
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance	4
A principal-weighted penalized regression model and its application in economic modeling	4
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
Identifying regime switches through Bayesian wavelet estimation: application to environmental and genetic data	4
Classification of multivariate functional data with an application to ADHD fMRI data	4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection	4
A review and comparison of methods of testing for heteroskedasticity in the linear regression model	4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	4
A multivariate randomized response model for mixed-type data	4
How reliable are the multiple comparison methods for odds ratio?	4
Conformal prediction for frequency-severity modeling	4
Complexities of information sources	4
Predictive modeling of corticosteroids sensitivity in sepsis using a supervised learning approach	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	4
Direct nonparametric predictive inference classification trees	4
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	4
Spatial analysis for interval-valued data	4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution	4
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
Anticipative Bayesian classification for data streams with verification latency	3
Epidemic change-point detection in general integer-valued time series	3

Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored 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
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Density-based clustering method with adaptive neighbors	3
Sparse long-only Markowitz portfolio optimization	3
Insurance risk analysis using tempered stable subordinator	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
Alternative statistical modeling for radical prostatectomy data	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
A Bayesian approach for de-duplication in the presence of relational data	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
Calibrating a simulated exposure distribution using measurement error models	2
A new factor analysis model for factors obeying a Gamma distribution	2
Efficient Bayesian variable selection with reversible jump MCMC in imaging genetics: an application to schizophrenia	2
Deep learning for the joint analysis of item-level longitudinal and survival data	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
Multiresolution granger causality testing with variational mode decomposition: a python software	2
F-score for medical diagnostics tests under tree or umbrella ordering: proposing new measures of accuracy and optimal cut-off point selection	2
Multiple observers ranked set samples for shrinkage estimators	2
Mixture models for U.S. agricultural land and its growth rate	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Bootstrapping a powerful mixed portmanteau test for time series	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Estimation for time-varying coefficient smoothed quantile regression	2
Bayesian semi-parametric approaches to normal/independent and elliptical distributions	2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Bayesian latent ising model for joint microbial and metabolomic network inference	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Reliability analysis based on doubly-truncated and interval-censored data	2
On parameter estimation of the standard omega distribution	2
Evidence in directional data coming from circular normal distribution	2
EM algorithms and parameter estimation methods for a Beta-Uniform mixture model with application in multiple comparisons	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
Modeling multivariate ordinal time series	2
Fast maximum likelihood estimation for general hierarchical models	2
Statistical methods for assessing drug interactions using observational data	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
Discriminant analysis for a folded Watson distribution	2
Bayesian analysis on single server Markovian queueing model with impatient customers	2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality	2
Influence networks: Bayesian modeling and diffusion	2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
Imputed mean tensor regression for near-sited spatial temporal data	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
A semiparametric accelerated failure time-based mixture cure tree	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Semiparametric model averaging prediction in nested case-control studies	2
Modeling extreme events in the presence of inliers: a mixture approach	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
Forward variable selection for random forest models	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	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
Estimating an executive summary of a time series: the tendency	2
A marginalized three-part interrupted time series regression model for proportional data	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Efficient spline orthogonal basis for representation of density functions	2
Inference for error-prone count data: estimation under a binomial convolution framework	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management	2

Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Estimating effects of time-varying exposures on mortality risk	2
An improved LDA dimension reduction algorithm for multivariate time series classification	2
Correction	2
Three approaches to supervised learning for compositional data with pairwise logratios	2
Semiparametric analysis of competing risks data with missing causes of failure and covariate measurement error	1
Model building using forward selection and machine learning	1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference	1
Bayesian heterogeneity in a meta–analysis with two studies and binary data	1
Joint survival and longitudinal modelling for combined cohort data	1
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	1
A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience	1
Leverage at different time scales: a stochastic volatility perspective	1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach	1
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	1
A partitioned weighted moving average control chart	1
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	1
An efficient estimation approach to joint modeling of longitudinal and survival data	1
Iterative smoothing for change-point regression function estimation	1
On the robustness of truncated negative binomial regression model: application to field epidemiology	1
Regression models for the full distribution to exceedance data	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
Inference under balanced joint progressive type-II censoring scheme	1
Compositional data analysis for modelling and forecasting mortality using the α -transformation	1
Identifying outlying groups through residual analysis and its application to healthcare expenditure	1
Post-hoc mixture models to eBLUPs from linear mixed-effects models: a tractable approach for clustering irregular longitudinal data	1
Multiple outlier detection in samples with exponential & Pareto tails	1
Editorial to the special issue: modern streaming data analytics	1
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	1
A flexible test for early-stage studies with multiple endpoints	1
Robust inference for non-linear regression models with applications in enzyme kinetics	1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity	1
A novel ranked k -nearest neighbors algorithm for missing data imputation	1
Building forecasting model for interval time series based on point series and fuzzy relationships	1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	1
Generalised random tessellation stratified sampling over auxiliary spaces	1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data	1
Model averaging estimation of panel data models with many instruments and boosting	1
A computationally efficient sequential regression imputation algorithm for multilevel 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
Trend-based INAR(1) models with linear and exponential Poisson innovations with applications	1
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014–2020	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
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory	1
Towards a unified test for the intercept of autoregressive models	1
Adjusted profile likelihood inference for the scale parameter of the Gumbel distribution	1
Testing exchangeability of multivariate distributions	1
Discussion comments on “Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions”	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification	1
Rollout designs for lump-sum data	1
Hidden Markov modelling of spatio-temporal dynamics of measles in 1750–1850 Finland	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
Generating families of distributions using Yun and sigmoidal transformations with an application to exponential distribution	1
An optimal subsampling design for large-scale Cox model with censored data	1
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1
A methodology for calculating comparable wages: an application to direct care workers	1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults	1
A unit-level one-inflated beta model for small area prediction of seat-belt use rates	1
Study of the effect of randomized response techniques on the Jarque and Bera test: real survey application	1
A robust Bayesian latent position approach for community detection in networks with continuous attributes	1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process	1
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	1
Comment on: Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples	1
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model	1
The functional gait deviation index	1
A new method for estimating Sharpe ratio function via local maximum likelihood	1
A family of non-parametric tests for the class of log-symmetric distributions	1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations	1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	1
A longitudinal study of the influence of air pollutants on children: a robust multivariate approach	1
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	1
Fractional Poisson process for modeling extreme values in financial data using the ABC methodology in parameter estimation	1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates	1
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	1
Elastic functional Cox regression model with shape predictors	1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring	1
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts	1
Variable selection in linear-circular regression models	1
Robust analysis of multivariate count data under stopped–sampling designs: the contaminated Dirichlet–Negative multinomial	1
A gradient boosting decision tree based estimation method for the mixture cure model	1
Sensitivity analysis for matching on functional predictors: a case study of smoking and mortality in the US	1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy	1
Rapid online plant leaf area change detection with high-throughput plant image data	1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014	1
Goodness-of-fit test for the one-sided Lévy distribution	1
The cut-off point estimation for piecewise function-based growth model	1
New results on optimal conditional error functions for adaptive two-stage designs	1