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
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	14
Survival analysis for proportional odds model with network structure	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
A non-linear integer-valued autoregressive model with zero-inflated data series	9
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling	9
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
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
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
A test for comparing conditional ROC curves with multidimensional covariates	7
Personalized treatment selection using observational data	7
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
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
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
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
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 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
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
A principal-weighted penalized regression model and its application in economic modeling	3
A multivariate randomized response model for mixed-type 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

A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	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
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
APCanalysis : an R package for identifying active factors using the APC method	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	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
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
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
How reliable are the multiple comparison methods for odds ratio?	3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
Classification of multivariate functional data with an application to ADHD fMRI data	3
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
Insurance risk analysis using tempered stable subordinator	3
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Estimating wildfire ignition probabilities with geographic weighted logistic regression	2
Estimation for time-varying coefficient smoothed quantile regression	2
Alternative statistical modeling for radical prostatectomy data	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
Fast maximum likelihood estimation for general hierarchical models	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Bootstrapping a powerful mixed portmanteau test for time series	2
A semiparametric accelerated failure time-based mixture cure tree	2
Evidence in directional data coming from circular normal distribution	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
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
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Bayesian analysis on single server Markovian queueing model with impatient customers	2
Estimating effects of time-varying exposures on mortality risk	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
Estimation of world seroprevalence of SARS-CoV-2 antibodies	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
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