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
Bayesian doubly robust estimation of causal effects for clustered observational data	31
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	30
Tests of covariate effects under finite Gaussian mixture regression models	30
Diagnostic analytics for the mixed Poisson INGARCH model with applications	30
A non-linear integer-valued autoregressive model with zero-inflated data series	23
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	21
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	21
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	15
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effect	13
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling	11
Comparison of predictive values with paired samples	10
Central tolerance interval as reference range in a random effects meta-analysis model	10
Survival analysis for proportional odds model with network structure	9
Correction	9
A defective cure rate quantile regression model for male breast cancer data	9
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	8
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	8
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	8
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	8
Bayesian survival modeling with mixtures of inverse Gaussian frailties	7
A test for comparing conditional ROC curves with multidimensional covariates	7
Testing serial correlation in a general d -factor model with possible infinite variance	7
Estimation for volunteer web survey samples using a model-averaging approach	7

Bayesian singular value decomposition procedure based on the horseshoe prior	7
A control chart for bivariate discrete data monitoring	7
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	7
A novel partially linear varying coefficient model with diagnostic analysis for the Birnbaum-Saunders distribution: application to real-world air pollution data	7
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	7
Influence diagnostics in the Heckman selection models based on EM algorithms	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 disease progression under the proportional reduction in decline in Alzheimer's disease studies	6
Semi-supervised inference for false negatives using zero-inflated Bernoulli regression in case-control studies	6
A generalized sigmoidal quantile function approach to smoothed quantile regression	6
On regime changes of COVID-19 outbreak	6
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	6
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	6
Alternative tests for one-way ANCOVA under heteroscedasticity	5
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	5
An improved two-stage binary relevance method for multilabel classification	5
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	5
Forecasting a time series of Lorenz curves: one-way functional analysis of variance	5
Partially linear mixed effects model with measurement error in nonparametric part	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
Detection and estimation of multiple transient changes	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
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	4
Anticipative Bayesian classification for data streams with verification latency	4
A multivariate randomized response model for mixed-type data	4
Conformal prediction for frequency-severity modeling	4
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance	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 note on the unimodality and log-concavity of the exponentiated Teissier distribution	4
Spatial analysis for interval-valued data	4
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	4
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	4
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	4
Framework for constructing an optimal weighted score based on agreement	4
Identifying regime switches through Bayesian wavelet estimation: application to environmental and genetic data	4
A review and comparison of methods of testing for heteroskedasticity in the linear regression model	4
A principal-weighted penalized regression model and its application in economic modeling	4
Multivariate meta-analysis with a robustified diagonal likelihood function	4
APCanalysis : an R package for identifying active factors using the APC method	4
Direct nonparametric predictive inference classification trees	4
Modeling heterogeneity and serial correlation of non-life insurance policyholders using a GLM–HMM framework	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Predictive modeling of corticosteroids sensitivity in sepsis using a supervised learning approach	4
Classification of multivariate functional data with an application to ADHD fMRI data	4

A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	4
Insurance risk analysis using tempered stable subordinator	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Sparse long-only Markowitz portfolio optimization	3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	3
Estimating an executive summary of a time series: the tendency	3
Improved confidence interval estimation for the relative difference in matched pair designs	3
Mixture models for U.S. agricultural land and its growth rate	3
An improved LDA dimension reduction algorithm for multivariate time series classification	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
Bayesian semi-parametric approaches to normal/independent and elliptical distributions	3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Density-based clustering method with adaptive neighbors	3
Bayesian analysis on single server Markovian queueing model with impatient customers	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
F-score for medical diagnostics tests under tree or umbrella ordering: proposing new measures of accuracy and optimal cut-off point selection	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
Bootstrapping a powerful mixed portmanteau test for time series	3
Three approaches to supervised learning for compositional data with pairwise logratios	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Epidemic change-point detection in general integer-valued time series	3
Fast maximum likelihood estimation for general hierarchical models	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Inference for error-prone count data: estimation under a binomial convolution framework	3
Multiple testing of one-sided hypotheses with conservative p -values	2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Semiparametric model averaging prediction in nested case-control studies	2
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	2
Estimation for time-varying coefficient smoothed quantile regression	2
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
A clustering-based investment strategy for high-dimensional portfolio optimization	2
Grouped-Poisson hurdle regression for underdispersed ecological counts	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Modeling multivariate ordinal time series	2
Efficient Bayesian variable selection with reversible jump MCMC in imaging genetics: an application to schizophrenia	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Bayesian latent ising model for joint microbial and metabolomic network inference	2
A new factor analysis model for factors obeying a Gamma distribution	2
Influence networks: Bayesian modeling and diffusion	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
A family of non-parametric tests for the class of log-symmetric distributions	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
The functional gait deviation index	2
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	2
Estimating effects of time-varying exposures on mortality risk	2
Identifying outlying groups through residual analysis and its application to healthcare expenditure	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Efficient spline orthogonal basis for representation of density functions	2
Evidence in directional data coming from circular normal distribution	2
Leverage at different time scales: a stochastic volatility perspective	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
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Deep learning for the joint analysis of item-level longitudinal and survival data	2
Calibrating a simulated exposure distribution using measurement error models	2
Statistical methods for assessing drug interactions using observational data	2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality	2
Alternative statistical modeling for radical prostatectomy data	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
A Bayesian approach for de-duplication in the presence of relational data	2
Discriminant analysis for a folded Watson distribution	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Model averaging estimation of panel data models with many instruments and boosting	2
A semiparametric accelerated failure time-based mixture cure tree	2
Trend-based INAR(1) models with linear and exponential Poisson innovations with applications	2
Rapid online plant leaf area change detection with high-throughput plant image data	2

A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Generalised random tessellation stratified sampling over auxiliary spaces	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	2
Imputed mean tensor regression for near-sited spatial temporal data	2
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Derivation of a multivariate longitudinal causal effects model	2
Modeling extreme events in the presence of inliers: a mixture approach	2
Bayesian vector autoregression with applications on panel data and small area estimation	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
A marginalized three-part interrupted time series regression model for proportional data	2
Multiple observers ranked set samples for shrinkage estimators	2
Correction	2
EM algorithms and parameter estimation methods for a Beta-Uniform mixture model with application in multiple comparisons	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
Fractional Poisson process for modeling extreme values in financial data using the ABC methodology in parameter estimation	1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach	1
Hidden Markov modelling of spatio-temporal dynamics of measles in 1750–1850 Finland	1
On the improved estimation of the normal mixture components for longitudinal data	1
Penalized functional regression using R package PFLR	1
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory	1
Comment on: Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples	1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model	1
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	1
Inference for dependent competing risks model under m -cycle minimum ranked set sampling	1
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014–2020	1
A robust Bayesian latent position approach for community detection in networks with continuous attributes	1
Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer	1
Inference under multivariate size-biased sampling	1
Estimation of the shape parameter in the inverse Pareto model: a deep dive into loss function performance	1
Nonparametric tolerance intervals controlling percentages in both tails and simultaneous testing of quantiles	1
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models	1
A partitioned weighted moving average control chart	1
A two-sample nonparametric test for one-sided location-scale alternative	1
Editorial to the special issue: modern streaming data analytics	1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference	1
A methodology for calculating comparable wages: an application to direct care workers	1
The cut-off point estimation for piecewise function-based growth model	1
Rollout designs for lump-sum data	1
A longitudinal study of the influence of air pollutants on children: a robust multivariate approach	1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification	1
Instrumental variable estimation for functional concurrent regression models	1
Regression models for the full distribution to exceedance data	1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity	1
Robust analysis of multivariate count data under stopped–sampling designs: the contaminated Dirichlet–Negative multinomial	1
Semiparametric regression analysis of panel binary data with a dependent failure time	1
A computationally efficient sequential regression imputation algorithm for multilevel data	1
Estimating confidence interval of difference in optimal accuracy achieved by overlapping (or nested) groups of clinical biomarkers under multivariate normality	1
Stacked elastic net penalized logistic regression for ultra-high-dimensional cancer genomic classification	1
Inference under balanced joint progressive type-II censoring scheme	1
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	1
Modeling self-exciting diurnal processes with applications to smartphone use in populations with affective disorders	1
A new method for estimating Sharpe ratio function via local maximum likelihood	1
A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South Korea	1
A robust and efficient change point detection method for high-dimensional linear models	1
An integrated change point detection and online monitoring approach for the ratio of two variables using clustering-based control charts	1
Review of Seminal Ideas and Controversies in Statistics	1
Joint survival and longitudinal modelling for combined cohort data	1
Order selection in GARMA models for count time series: a Bayesian perspective	1
Variable selection in linear-circular regression models	1
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes	1
A Bayesian joint modelling of current status and current count data	1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults	1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data	1
Post-hoc mixture models to eBLUPs from linear mixed-effects models: a tractable approach for clustering irregular longitudinal data	1
Towards a unified test for the intercept of autoregressive models	1
An optimal subsampling design for large-scale Cox model with censored data	1
Building forecasting model for interval time series based on point series and fuzzy relationships	1
Discussion comments on “Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions”	1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process	1
On the robustness of truncated negative binomial regression model: application to field epidemiology	1
Bootstrap-adjusted quasi-likelihood information criteria for mixed model selection	1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring	1
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	1
A model for bimodal rates and proportions	1
A novel variable selection method in nonlinear multivariate models using B-splines with an application to geoscience	1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	1
Confidence intervals using Turing's estimator: simulations and applications	1
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation	1
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	1
Smoothing level selection for density estimators based on the moments	1
On function-on-function linear quantile regression	1
A robust distance-based approach for detecting multidimensional outliers	1
Developing optimal group acceptance sampling plans based on Weibull distribution with limited risks	1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	1
Prediction and model evaluation for space–time data	1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy	1
Performance of diagnostic tests based on continuous bivariate markers	1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations	1
A gradient boosting decision tree based estimation method for the mixture cure model	1