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	40
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	29
Bayesian doubly robust estimation of causal effects for clustered observational data	27
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	26
Diagnostic analytics for the mixed Poisson INGARCH model with applications	26
Comparison of predictive values with paired samples	24
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	21
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	18
Survival analysis for proportional odds model with network structure	17
Tests of covariate effects under finite Gaussian mixture regression models	12
A non-linear integer-valued autoregressive model with zero-inflated data series	11
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	10
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	10
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling	9
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	9
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effect	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	8
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	8
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	8
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	8
Testing serial correlation in a general d -factor model with possible infinite variance	7
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies	7
A control chart for bivariate discrete data monitoring	7
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	7

Current status data with two competing risks and time-dependent missing failure types	6
Bayesian singular value decomposition procedure based on the horseshoe prior	6
Influence diagnostics in the Heckman selection models based on EM algorithms	6
Bayesian survival modeling with mixtures of inverse Gaussian frailties	6
A test for comparing conditional ROC curves with multidimensional covariates	6
A novel partially linear varying coefficient model with diagnostic analysis for the Birnbaum-Saunders distribution: application to real-world air pollution data	6
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
On regime changes of COVID-19 outbreak	5
Detection and estimation of multiple transient changes	5
Alternative tests for one-way ANCOVA under heteroscedasticity	5
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	5
Estimation for volunteer web survey samples using a model-averaging approach	5
An improved two-stage binary relevance method for multilabel classification	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
Depth-based statistical analysis in the spike train space	5
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	5
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	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
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	5
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	4
Spatial analysis for interval-valued data	4
A robust likelihood approach to inference for paired multiple binary endpoints data	4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	4
Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection	4
How reliable are the multiple comparison methods for odds ratio?	4
A multivariate randomized response model for mixed-type data	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Complexities of information sources	4
Classification of multivariate functional data with an application to ADHD fMRI data	4
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	4
A note on the unimodality and log-concavity of the exponentiated Teissier distribution	4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	4
A principal-weighted penalized regression model and its application in economic modeling	4
Predictive modeling of corticosteroids sensitivity in sepsis using a supervised learning approach	4
Identifying regime switches through Bayesian wavelet estimation: application to environmental and genetic data	4
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance	4
Conformal prediction for frequency-severity modeling	4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	4
Framework for constructing an optimal weighted score based on agreement	4
A review and comparison of methods of testing for heteroskedasticity in the linear regression model	4
Direct nonparametric predictive inference classification trees	4
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
Bayesian semi-parametric approaches to normal/independent and elliptical distributions	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3

Epidemic change-point detection in general integer-valued time series	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	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
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Insurance risk analysis using tempered stable subordinator	3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	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
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Density-based clustering method with adaptive neighbors	3
Sparse long-only Markowitz portfolio optimization	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
Anticipative Bayesian classification for data streams with verification latency	3
Efficient Bayesian variable selection with reversible jump MCMC in imaging genetics: an application to schizophrenia	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
Calibrating a simulated exposure distribution using measurement error models	2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
Bayesian latent ising model for joint microbial and metabolomic network inference	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
Bayesian analysis on single server Markovian queueing model with impatient customers	2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	2
Correction	2
Deep learning for the joint analysis of item-level longitudinal and survival data	2
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	2
Multiple observers ranked set samples for shrinkage estimators	2
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Estimating an executive summary of a time series: the tendency	2
Estimation for time-varying coefficient smoothed quantile regression	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
Inference for error-prone count data: estimation under a binomial convolution framework	2
Reliability analysis based on doubly-truncated and interval-censored data	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
A marginalized three-part interrupted time series regression model for proportional data	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Efficient spline orthogonal basis for representation of density functions	2
Evidence in directional data coming from circular normal distribution	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
Modeling extreme events in the presence of inliers: a mixture approach	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
F-score for medical diagnostics tests under tree or umbrella ordering: proposing new measures of accuracy and optimal cut-off point selection	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Semiparametric model averaging prediction in nested case-control studies	2
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	2
A semiparametric accelerated failure time-based mixture cure tree	2
Bootstrapping a powerful mixed portmanteau test for time series	2
Influence networks: Bayesian modeling and diffusion	2
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management	2
Derivation of a multivariate longitudinal causal effects model	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
Alternative statistical modeling for radical prostatectomy data	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Forward variable selection for random forest models	2
Statistical methods for assessing drug interactions using observational data	2
A Bayesian approach for de-duplication in the presence of relational data	2
A new factor analysis model for factors obeying a Gamma distribution	2
Fast maximum likelihood estimation for general hierarchical models	2
On parameter estimation of the standard omega distribution	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Model averaging estimation of panel data models with many instruments and boosting	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
An improved LDA dimension reduction algorithm for multivariate time series classification	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality	2
Three approaches to supervised learning for compositional data with pairwise logratios	2
Estimating effects of time-varying exposures on mortality risk	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

Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Imputed mean tensor regression for near-sited spatial temporal data	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Discriminant analysis for a folded Watson distribution	2
Modeling multivariate ordinal time series	2