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
Tests of covariate effects under finite Gaussian mixture regression models	30
Diagnostic analytics for the mixed Poisson INGARCH model with applications	30
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	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
Central tolerance interval as reference range in a random effects meta-analysis model	10
Comparison of predictive values with paired samples	10
Correction	9
A defective cure rate quantile regression model for male breast cancer data	9
Survival analysis for proportional odds model with network structure	9
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
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
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
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
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
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
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
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
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
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
Bootstrapping a powerful mixed portmanteau test for time series	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Three approaches to supervised learning for compositional data with pairwise logratios	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
Fast maximum likelihood estimation for general hierarchical models	3
Epidemic change-point detection in general integer-valued time series	3
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Inference for error-prone count data: estimation under a binomial convolution framework	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Insurance risk analysis using tempered stable subordinator	3
Sparse long-only Markowitz portfolio optimization	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Estimating an executive summary of a time series: the tendency	3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	3
Mixture models for U.S. agricultural land and its growth rate	3
Improved confidence interval estimation for the relative difference in matched pair designs	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
An improved LDA dimension reduction algorithm for multivariate time series classification	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
Bayesian analysis on single server Markovian queueing model with impatient customers	3
Density-based clustering method with adaptive neighbors	3
F-score for medical diagnostics tests under tree or umbrella ordering: proposing new measures of accuracy and optimal cut-off point selection	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
Evidence in directional data coming from circular normal distribution	2
Efficient spline orthogonal basis for representation of density functions	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
Leverage at different time scales: a stochastic volatility perspective	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
Deep learning for the joint analysis of item-level longitudinal and survival data	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Statistical methods for assessing drug interactions using observational data	2
Calibrating a simulated exposure distribution using measurement error models	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
Bayesian spatial and spatio-temporal analysis of socioeconomic determinants on COVID-19 mortality	2
Alternative statistical modeling for radical prostatectomy data	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
A Bayesian approach for de-duplication in the presence of relational data	2
Discriminant analysis for a folded Watson distribution	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
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Rapid online plant leaf area change detection with high-throughput plant image data	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
Generalised random tessellation stratified sampling over auxiliary spaces	2
Imputed mean tensor regression for near-sited spatial temporal data	2
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	2
Derivation of a multivariate longitudinal causal effects model	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Bayesian vector autoregression with applications on panel data and small area estimation	2
Modeling extreme events in the presence of inliers: a mixture approach	2
A marginalized three-part interrupted time series regression model for proportional data	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
EM algorithms and parameter estimation methods for a Beta-Uniform mixture model with application in multiple comparisons	2
Multiple observers ranked set samples for shrinkage estimators	2
Correction	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
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
Estimation for time-varying coefficient smoothed quantile regression	2
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	2
An integer-valued spatial autoregressive model with application to COVID-19 counts	2
Cardinality-based sparse singular value decomposition for similarity matrices	2

Grouped-Poisson hurdle regression for underdispersed ecological counts	2
A clustering-based investment strategy for high-dimensional portfolio optimization	2
Modeling multivariate ordinal time series	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Efficient Bayesian variable selection with reversible jump MCMC in imaging genetics: an application to schizophrenia	2
A new factor analysis model for factors obeying a Gamma distribution	2
Bayesian latent ising model for joint microbial and metabolomic network inference	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
Influence networks: Bayesian modeling and diffusion	2
Reliability analysis based on doubly-truncated and interval-censored data	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
Estimating effects of time-varying exposures on mortality risk	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
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Identifying outlying groups through residual analysis and its application to healthcare expenditure	2