Journal of Applied Statistics

Article	Citations
Diagnostic analytics for the mixed Poisson INGARCH model with applications	46
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	36
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	27
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	25
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	21
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	21
Tests of covariate effects under finite Gaussian mixture regression models	20
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	16
A defective cure rate quantile regression model for male breast cancer data	16
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	15
A non-linear integer-valued autoregressive model with zero-inflated data series	15
Bayesian doubly robust estimation of causal effects for clustered observational data	13
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	13
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	13
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	12
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	11
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	10
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	9
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	9
On detecting the effect of exposure mixture	8
A robust latent CUSUM chart for monitoring customer attrition	8
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	8
Influence diagnostics in the Heckman selection models based on EM algorithms	8
Testing serial correlation in a general d -factor model with possible infinite variance	8
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies	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 control chart for bivariate discrete data monitoring	7
A test for comparing conditional ROC curves with multidimensional covariates	7
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models	6
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	6
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	6
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	6
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	6
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates	6
Current status data with two competing risks and time-dependent missing failure types	6
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	6
Personalized treatment selection using observational data	6
Inference for a discretized stochastic logistic differential equation and its application to biological growth	5
Detection and estimation of multiple transient changes	5
A fusion learning method to subgroup analysis of Alzheimer's disease	5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	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
Functional distributional clustering using spatio-temporal data	5
On regime changes of COVID-19 outbreak	5
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	5
Depth-based statistical analysis in the spike train space	5
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	5
Framework for constructing an optimal weighted score based on agreement	4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	4
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	4
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	4
Detecting statistical interactions in immune receptor data: a comparative study	4
Spatial analysis for interval-valued data	4
Complexities of information sources	4
A robust likelihood approach to inference for paired multiple binary endpoints 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
A new regression model for rates and proportions data with applications	4
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	4
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	4
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
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Curve fitting and jump detection on nonparametric regression with missing data	3
Three approaches to supervised learning for compositional data with pairwise logratios	3
Assessing the impact of neighborhood structures in Bayesian disease mapping	3
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation	3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	3
Understanding students' evaluations of professors using non-negative matrix factorization	3
Epidemic change-point detection in general integer-valued time series	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
A principal-weighted penalized regression model and its application in economic modeling	3

A multivariate randomized response model for mixed-type data	3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Insurance risk analysis using tempered stable subordinator	3
Bootstrapping a powerful mixed portmanteau test for time series	3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Pearson's goodness-of-fit tests for sparse distributions	3
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
Anticipative Bayesian classification for data streams with verification latency	3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	3
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	3
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
Estimating an executive summary of a time series: the tendency	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
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	3
How reliable are the multiple comparison methods for odds ratio?	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
Forward variable selection for random forest models	2
A family of non-parametric tests for the class of log-symmetric distributions	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
The functional gait deviation index	2
A Bayesian approach for de-duplication in the presence of relational data	2
Cardinality-based sparse singular value decomposition for similarity matrices	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Statistical methods for assessing drug interactions using observational data	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Bayesian approaches to variable selection in mixture models with application to disease clustering	2
Estimation for time-varying coefficient smoothed quantile regression	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	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
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	2
On parameter estimation of the standard omega distribution	2
Alternative statistical modeling for radical prostatectomy data	2
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	2
Influence networks: Bayesian modeling and diffusion	2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	2
A survival tree based on stabilized score tests for high-dimensional covariates	2
Model averaging estimation of panel data models with many instruments and boosting	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization	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
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
Estimating effects of time-varying exposures on mortality risk	2
Testing the reliability of forecasting systems	2
Imputed mean tensor regression for near-sited spatial temporal data	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
A semiparametric accelerated failure time-based mixture cure tree	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Calibrating a simulated exposure distribution using measurement error models	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
A new factor analysis model for factors obeying a Gamma distribution	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Semiparametric model averaging prediction in nested case-control studies	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Prediction models with graph kernel regularization for network data	2
Multiple observers ranked set samples for shrinkage estimators	2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	2
Fast maximum likelihood estimation for general hierarchical models	2
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval	2
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model	2

Discriminant analysis for a folded Watson distribution	2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
The modified slash Lindley–Weibull distribution with applications to nutrition data	2
A generalized l2,p-norm regression based feature selection algorithm	1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference	1
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process	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
A partitioned weighted moving average control chart	1
Rapid online plant leaf area change detection with high-throughput plant image data	1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
A novel group VIF regression for group variable selection with application to multiple change-point detection	1
Penalized functional regression using R package PFLR	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
Goodness-of-fit inference for the additive hazards regression model with clustered current status data	1
A robust Bayesian latent position approach for community detection in networks with continuous attributes	1
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes	1
A two-sample nonparametric test for one-sided location-scale alternative	1
Variable targeting and reduction in large vector autoregressions with applications to workforce indicators	1
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models	1
Correction Notice	1
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	1
Elastic statistical analysis of interval-valued time series	1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	1
An optimal subsampling design for large-scale Cox model with censored data	1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data	1
A novel ranked k -nearest neighbors algorithm for missing data imputation	1
Editorial to the special issue: modern streaming data analytics	1
A unit-level one-inflated beta model for small area prediction of seat-belt use rates	1
Bayesian heterogeneity in a meta–analysis with two studies and binary data	1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	1
A computationally efficient sequential regression imputation algorithm for multilevel data	1
Goodness-of-fit test for the one-sided Lévy distribution	1
A new method for estimating Sharpe ratio function via local maximum likelihood	1
Fast inference for robust nonlinear mixed-effects models	1
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States	1
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting	1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	1
Testing exchangeability of multivariate distributions	1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach	1
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory	1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring	1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014	1
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	1
Towards a unified test for the intercept of autoregressive models	1
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model	1
A robust distance-based approach for detecting multidimensional outliers	1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates	1
Model-based joint curve registration and classification	1
Rollout designs for lump-sum data	1
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification	1
Order selection in GARMA models for count time series: a Bayesian perspective	1
New results on optimal conditional error functions for adaptive two-stage designs	1
Correction Notice	1
Variable selection in linear-circular regression models	1
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI	1
A gradient boosting decision tree based estimation method for the mixture cure model	1
Component selection for exponential power mixture models	1
Circular analyses of dates on patients with gastric carcinoma	1
Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan	1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	1
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014–2020	1
Estimating software reliability using size-biased modelling	1
Inference under balanced joint progressive type-II censoring scheme	1
Inferences for multiple interval type-I censoring scheme	1
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19	1
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner	1
Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data	1
Semiparametric analysis of competing risks data with missing causes of failure and covariate measurement error	1
Generalised random tessellation stratified sampling over auxiliary spaces	1
A longitudinal study of the influence of air pollutants on children: a robust multivariate approach	1
On the robustness of truncated negative binomial regression model: application to field epidemiology	1
A new class of efficient and debiased two-step shrinkage estimators: method and application	1
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil	1
A flexible test for early-stage studies with multiple endpoints	1
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	1
Iterative smoothing for change-point regression function estimation	1
Multiple outlier detection in samples with exponential & Pareto tails	1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults	1
Identifying outlying groups through residual analysis and its application to healthcare expenditure	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts	1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity	1
Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis	1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
Instrumental variable estimation for functional concurrent regression models	1
Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations	1