Journal of Applied Statistics

Article	Citations
Model-based joint curve registration and classification	35
Point estimation and related classification problems for several Lindley populations with application using COVID-19 data	29
Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19	28
Confidence intervals for ratios of means applied to corpus-based word frequency classes	27
A new flexible regression model with application to recovery probability Covid-19 patients	25
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	21
K-Bessel regression model for speckled data	18
Bootstrapping a powerful mixed portmanteau test for time series	17
Isotonic regression for metallic microstructure data: estimation and testing under order restrictions	16
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	16
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic	16
Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effects	15
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar	15
Inference on exponentiated Rayleigh distribution with constant stress partially accelerated life tests under progressive type-II censoring	15
Classifying contaminated cell cultures using time series features	15
Analysis of medians under two-way model with and without interaction for Birnbaum–Saunders distributed response	14
Circular analyses of dates on patients with gastric carcinoma	13
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	13
Statistical estimation and comparison of group-specific bivariate correlation coefficients in family-type clustered studies	12
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	12
Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters	12
Conservative confidence intervals for the intraclass correlation coefficient for clustered binary data	12
Causal mediation analysis between resistance exercise and reduced risk of cardiovascular disease based on the Aerobics Center Longitudinal Study	12
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	11
A new family of quantile regression models applied to nutritional data	11

Functional principal component models for sparse and irregularly spaced data by Bayesian inference	11
Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution	11
Multicriteria decision frontiers for prescription anomaly detection over time	11
Incomplete clustering analysis via multiple imputation	10
A family of bimodal distributions generated by distributions with positive support	9
Performance of diagnostic tests based on continuous bivariate markers	9
A non-linear integer-valued autoregressive model with zero-inflated data series	9
A hidden Markov modeling approach combining objective measure of activity and subjective measure of self-reported sleep to estimate the sleep-wake cycle	9
A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions	9
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation	9
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso	8
Efficient design of geographically-defined clusters with spatial autocorrelation	8
Goodness of fit tests for random multigraph models	8
Smoothing regression and impact measures for accidents of traffic flows	8
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance	7
Prediction and model evaluation for space–time data	7
A general class of trimodal distributions: properties and inference	7
On a log-symmetric quantile tobit model applied to female labor supply data	7
A novel group VIF regression for group variable selection with application to multiple change-point detection	7
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	6
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	6
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	6
Machine learning and design of experiments with an application to product innovation in the chemical industry	6
A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting	6
A multivariate zero-inflated binomial model for the analysis of correlated proportional data	6
Smoothing level selection for density estimators based on the moments	6
Testing the reliability of forecasting systems	6
Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer	6
Three approaches to supervised learning for compositional data with pairwise logratios	6
Diagnostics for categorical response models based on quantile residuals and distance measures	6
Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d	6
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	6
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	6
Modeling bivariate geyser eruption system with covariate-adjusted recurrent event process	6
Robust inference for skewed data in health sciences	5
A two-sample nonparametric test for one-sided location-scale alternative	5
Matching a discrete distribution by Poisson matching quantiles estimation	5
Stochastic cusp catastrophe model and its Bayesian computations	5
A defective cure rate quantile regression model for male breast cancer data	5
MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural break	5
Shrinkage estimation of fixed and random effects in linear quantile mixed models	5
Forecasting economic growth by combining local linear and standard approaches	5
A robust distance-based approach for detecting multidimensional outliers	5
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	4
Hierarchical marketing mix models with sign constraints	4
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil	4
Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification	4
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models	4
Parametric inference of the process capability index for exponentiated exponential distribution	4
Combining phenotypic and genomic data to improve prediction of binary traits	4

Regularized regression when covariates are linked on a network: the 3CoSE algorithm	4
Application of the skew exponential power distribution to ROC curves	4
The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models	4
Bayesian doubly robust estimation of causal effects for clustered observational data	4
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	4
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	4
Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach	4
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	4
An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method	4
Data-driven choice of a model selection method in joinpoint regression	4
A generalized likelihood ratio test for monitoring profile data	4
Fast inference for robust nonlinear mixed-effects models	4
A comparison of single- and double-threshold ROC plots for mixture distributions	4
Integrative analysis of high-dimensional quantile regression with contrasted penalization	4
Diagnostic checks in time series models based on a new correlation coefficient of residuals	4
Assessing the discriminatory power of loss given default models	4
Bayesian approaches to variable selection in mixture models with application to disease clustering	4
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19	3
Estimation for volunteer web survey samples using a model-averaging approach	3
Inference under multivariate size-biased sampling	3
Z-residual diagnostic tool for assessing covariate functional form in shared frailty models	3
A robust and efficient change point detection method for high-dimensional linear models	3
Bayesian modeling framework for optimizing pre-hospital stroke triage decisions	3
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	3
Dealing with missing data under stratified sampling designs where strata are study domains	3
Bootstrap aggregated classification for sparse functional data	3
A test for comparing conditional ROC curves with multidimensional covariates	3
Fast maximum likelihood estimation for general hierarchical models	3
A Bayesian nonparametric model for bounded directional data on the positive orthant of the unit sphere	3
Review of Bayesian selection methods for categorical predictors using JAGS	3
A new multivariate t distribution with variant tail weights and its application in robust regression analysis	3
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	3
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	3
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	3
Identifying waves of COVID-19 mortality using skew normal curves	3
Reliability analysis based on doubly-truncated and interval-censored data	3
A robust latent CUSUM chart for monitoring customer attrition	3
Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis	3
Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches	3
Forward variable selection for random forest models	3
Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors	3
Penalized likelihood methods for modeling count data	3
Modelling and monitoring of INAR(1) process with geometrically inflated Poisson innovations	3
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	3
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	3
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes	3
Tests of covariate effects under finite Gaussian mixture regression models	3
A novel ranked k -nearest neighbors algorithm for missing data imputation	3
Model-assisted estimation in high-dimensional settings for survey data	3
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	3
Personalized treatment selection using observational data	3
Inference for a discretized stochastic logistic differential equation and its application to biological growth	3
A Bayesian approach for de-duplication in the presence of relational data	3
On detecting the effect of exposure mixture	3
A latent space model and Hotelling's T2 control chart to monitor the networks of Covid-19 symptoms	3
Family of bivariate distributions on the unit square: theoretical properties and applications	2
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	2
A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi	2
A discrete Weibull proportional odds survival model	2
Statistical clustering of documents via stochastic blockmodels	2
A novel Phase II single-arm hybrid design to minimize trial duration and enhance subsequent Phase III trial success rate	2
A Lindley–binomial model for analyzing the proportions with sparseness and excessive zeros	2
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
The zero-and-plus/minus-one inflated extended-Poisson distribution	2
Ensemble and calibration multiply robust estimation for quantile treatment effect	2
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	2
Alternative statistical modeling for radical prostatectomy data	2
Correction Notice	2
Some properties of stop-loss moments under biased sampling	2
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	2
Time series modelling methods to forecast the volume of self-assessment tax returns in the UK	2
Sparse kernel k -means clustering	2
Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studies	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Predicting dichotomised outcomes from high-dimensional data in biomedicine	2
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data	2
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	2
The generalized odd log-logistic-G regression with interval-censored survival data	2
Modeling multivariate cyber risks: deep learning dating extreme value theory	2

A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	2
Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data	2
A double generally weighted moving average control chart for monitoring the process variability	2
Modeling the time to dropout under phase-wise variable stress fixed cohort setup	2
A one-sided exponentially weighted moving average control chart for time between events	2
A robust estimation method for the linear regression model parameters with correlated error terms and outliers	2
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	2
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models	2
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations	2
Mixed Lasso estimator for stochastic restricted regression models	2
Goodness-of-fit test for the one-sided Lévy distribution	2
Current status data with two competing risks and time-dependent missing failure types	2
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	2
A survival tree based on stabilized score tests for high-dimensional covariates	2
Instrumental variable estimation for functional concurrent regression models	2
A first-order binomial-mixed Poisson integer-valued autoregressive model with serially dependent innovations	2
Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes	2
The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems	2
Model averaging in calibration of near-infrared instruments with correlated high-dimensional data	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Component selection for exponential power mixture models	2
Testing serial correlation in a general d -factor model with possible infinite variance	2
Classification of histogram-valued data with support histogram machines	2
Review of the third edition of sampling: design and analysis	1
Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS	1
A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution	1
A stationary Weibull process and its applications	1
An improved agricultural household margin insurance scheme with insured–insurer risk protection: a time-varying copula approach	1
An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis	1
kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates	1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014	1
Clustering in point processes on linear networks using nearest neighbour volumes	1
Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring	1
GARTFIMA process and its empirical spectral density based estimation	1
A semiparametric accelerated failure time-based mixture cure tree	1
A simple two-step procedure using the Fellegi–Sunter model for frequency-based record linkage	1
Statistical inference for distributions with one Poisson conditional	1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data	1
Estimation of world seroprevalence of SARS-CoV-2 antibodies	1
Testing for genetic mutation of seasonal influenza virus	1
A fusion learning method to subgroup analysis of Alzheimer's disease	1
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	1
Robust and efficient subsampling algorithms for massive data logistic regression	1
Improvedkth power expectile regression with nonignorable dropouts	1
A robust Bayesian latent position approach for community detection in networks with continuous attributes	1
Selection of random coefficients in ordered response models: a framework to detect heterogeneity in household surveys	1
A unit-level one-inflated beta model for small area prediction of seat-belt use rates	1
Solving unobserved heterogeneity with latent class inflated Poisson regression model	1
Estimation and selection in linear mixed models with missing data under compound symmetric structure	1
Time of week intensity estimation from partly interval censored data with applications to police patrol planning	1
The heterogeneity effect of surveillance intervals on progression free survival	1
A practical two-sample test for weighted random graphs	1
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails	1
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association	1
New results on optimal conditional error functions for adaptive two-stage designs	1
Time fused coefficient SIR model with application to COVID-19 epidemic in the United States	1
Ultrastructural calibration model for proficiency testing	1
A competing risk study of menarcheal age distribution based on non-recall current status data	1
Spatial analysis for interval-valued data	1
Latent trait models for perceived risk assessment using a Covid-19 data survey	1
A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data	1
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	1
Iterative smoothing for change-point regression function estimation	1
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	1
Complexities of information sources	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
A control chart for bivariate discrete data monitoring	1
A new approach to modeling positive random variables with repeated measures	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	1
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance	1
A bivariate load-sharing model	1
Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications	1
Mixed-level designs with orthogonality and relatively optimal run order	1
Depth-based statistical analysis in the spike train space	1
Compound truncated Poisson gamma distribution for understanding multimodal SAR intensities	1
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	1
Reparametrized generalized gamma partially linear regression with application to breast cancer data	1
Tail conditional moment for generalized skew-elliptical distributions	1
Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme	1
LIC criterion for optimal subset selection in distributed interval estimation	1
Testing nonlinearity of heavy-tailed time series	1
Time-varying coefficient model estimation through radial basis functions	1
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks	1
Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
The unit log–log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications	1
Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models	1
Parameter estimation for stable distributions and their mixture	1
Improved maximum likelihood estimation of the shape-scale family based on the generalized progressive hybrid censoring scheme	1
Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates	1
Multiple observers ranked set samples for shrinkage estimators	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1