Computational Statistics

Article	Citations
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	72
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	35
GOLFS: feature selection via combining both global and local information for high dimensional clustering	30
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	23
Reducing the overfitting in the gROC curve estimation	20
A software reliability model incorporating fault removal efficiency and it’s release policy	18
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	18
BARMPy: Bayesian additive regression models Python package	17
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	16
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	16
Dynamic sampling from a discrete probability distribution with a known distribution of rates	15
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	14
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	12
Multiway clustering with time-varying parameters	11
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	11
Large-scale dependent multiple testing via hidden semi-Markov models	11
Simultaneous confidence bands for multiple comparisons of several percentile lines	10
Imbalanced data sampling design based on grid boundary domain for big data	10
Novel matrix hit and run for sampling polytopes and its GPU implementation	10
Generalised Bayesian sample copula of order m	10
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	10
Network and attribute-based clustering of tennis players and tournaments	9
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	9
Generalized Reduced K–Means	9
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	8

Bayesian tests of symmetry for the generalized Von Mises distribution	8
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling	8
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	8
Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization	7
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	7
Mixture models for simultaneous classification and reduction of three-way data	6
Tuning selection for two-scale kernel density estimators	6
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	6
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	6
Predictors with measurement error in mixtures of polynomial regressions	6
Bayesian flexible beta regression model with functional covariate	6
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	6
Quicksort leave-pair-out cross-validation for ROC curve analysis	6
RMSE-minimizing confidence intervals for the binomial parameter	6
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	5
Expectile regression averaging method for probabilistic forecasting of electricity prices	5
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	5
Permutation tests for mixed paired and two-sample designs	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Statistical inference in massive datasets by empirical likelihood	5
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	5
The concordance filter: an adaptive model-free feature screening procedure	5
Finite mixture of regression models for censored data based on the skew-t distribution	5
On community structure validation in real networks	5
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	5
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	5
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	5
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	5
Flexible, non-parametric modeling using regularized neural networks	5
Model aggregation for doubly divided data with large size and large dimension	4
A bootstrap test for threshold effects in a diffusion process	4
Functional regression models with functional response: a new approach and a comparative study	4
Modeling of long-term survival data with unobserved dispersion via neural network	4
Multimodal information gain in Bayesian design of experiments	4
An algorithm of generating random number by wavelet denoising method and its application	4
The 2019 data challenge expo of the American Statistical Association	4
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	4
Nonparametric binary regression models with spherical predictors based on the random forests kernel	4
Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors	4
A flexible two-piece normal dynamic linear model	4
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	4
Conditional sufficient variable selection with prior information	4
Improving upon the effective sample size based on Godambe information for block likelihood inference	4
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	4
Informative right censoring in nonparametric survival models	4
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	4
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	4
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	4
An effective method for identifying clusters of robot strengths	3
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	3

Housing variables and immigration: an exploratory analysis in New York City	3
On four-way CP model estimation efficiency	3
A note on imputing squares via polynomial combination approach	3
Graphical tests of independence for general distributions	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
A general stream sampling design	3
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	3
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	3
Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach	3
High-dimensional penalized Bernstein support vector classifier	3
Penalized wavelet estimation and robust denoising for irregular spaced data	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
Variable selection for categorical response: a comparative study	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
Renewable learning for multiplicative regression with streaming datasets	3
The corrected likelihood approach for adjusting measurement error in Cox’s model	3
Multi-step estimators and shrinkage effect in time series models	3
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	3
Copula hidden Markov model with unknown number of states	3
Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data	3
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	3
A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study	3
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
Reduced multidimensional scaling	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
Deterministic subsampling for logistic regression with massive data	3
Two-sample mean vector projection test in high-dimensional data	3
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	3
Bayesian estimation and classification for two logistic populations with a common location	3
Model selection using PRESS statistic	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Penalized spline estimation for panel count data model with time-varying coefficients	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Learning causal graphs using variable grouping according to ancestral relationship	2
Variational Bayesian Lasso for spline regression	2
Fast and consistent algorithm for the latent block model	2
Rank estimation for the function-on-scalar model	2
New approximate Bayesian computation algorithm for censored data	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	2
An adaptive importance sampling for locally stable point processes	2
Exploring local explanations of nonlinear models using animated linear projections	2
A model-based approach to shot charts estimation in basketball	2
Lasso multinomial performance indicators for in-play basketball data	2
Using nomination sampling in estimating the area under the ROC curve	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Frequentist model averaging in the generalized multinomial logit model	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
Robust sparse Bayesian infinite factor models	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Profile transformations for reciprocal averaging and singular value decomposition	2
Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme	2
FRODO: a novel approach to micro–macro multilevel regression	2
Finding exclusive peak with permutation testing	2
INet for network integration	2
On the estimation of partially observed continuous-time Markov chains	2
Penalized function-on-function linear quantile regression	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
Robust estimation of the number of factors for the pair-elliptical factor models	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
Household energy expenditure and consumption patterns in the United States	2
Smallest covering regions and highest density regions for discrete distributions	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Kernel density estimation by stagewise algorithm with a simple dictionary	2
The power of visualizing distributional differences: formal graphical n-sample tests	2

Deep support vector quantile regression with non-crossing constraints	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Fitting concentric elliptical shapes under general model	2
Generalized linear model based on latent factors and supervised components	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
A semi-parametric approach to feature selection in high-dimensional linear regression models	1
Performance of evaluation metrics for classification in imbalanced data	1
A new non-archimedean metric on persistent homology	1
Shapiro-Wilk test for multivariate skew-normality	1
An improved exact sampling algorithm for the standard normal distribution	1
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models	1
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	1
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables	1
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data	1
Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ acceleration and restarting for nonlinear principal component analysis	1
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	1
Covariance matrix testing in high dimension using random projections	1
Sparse online principal component analysis for parameter estimation in factor model	1
Computational advances for spatio-temporal multivariate environmental models	1
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood	1
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models	1
Overcoming convergence problems in PLS path modelling	1
Approximate Bayesian computation using asymptotically normal point estimates	1
Parameter-wise co-clustering for high-dimensional data	1
Modified minimum distance estimators: definition, properties and applications	1
Let’s talk about the weather: a cluster-based approach to weather forecast accuracy	1
Robust order selection of mixtures of regression models with random effects	1
Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach	1
A copula-based Bayesian framework for doping detection	1
Projection predictive variable selection for discrete response families with finite support	1
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	1
Policy evaluation using model over-fitting: the Nordic case	1
Laplace regression with clustered censored data	1
A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure	1
A new approach to modeling the cure rate in the presence of interval censored data	1
Correction: Housing variables and immigration: an exploratory analysis in New York City	1
A Monte Carlo permutation procedure for testing variance components in generalized linear regression models	1
On the effectiveness of partially deterministic Bayesian neural networks	1
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies	1
Bayesian joint inference for multivariate quantile regression model with L$$_{1/2}$$ penalty	1
Immigrant residency and happiness in New York City	1
A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior	1
Maximizing adjusted covariance: new supervised dimension reduction for classification	1
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring	1
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model	1
A hierarchical clustering method for random intervals based on a similarity measure	1
A Newton-based variant of Exclusive Lasso for improved sparse solutions	1
Weighted LAD-Liu-LASSO for robust estimation and sparsity	1
Kernel regression for cause-specific hazard models with time-dependent coefficients	1
Influence function-based confidence intervals for the Kendall rank correlation coefficient	1
Correction to: Bayesian estimation of the number of species from Poisson–Lindley stochastic abundance model using non-informative priors	1
Overlapping coefficient in network-based semi-supervised clustering	1
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	1
Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques	1
Adjusting the adjusted Rand Index	1
An algorithm for generating efficient block designs via a novel particle swarm approach	1
Generative models and Bayesian inversion using Laplace approximation	1
The 2017 Data Challenge of the American Statistical Association	1
Jackknife empirical likelihood based diagnostic checking for Ar(p) models	1
Smoothed quantile regression for censored residual life	1
Eras of dominance: identifying strong and weak periods in professional tennis	1
Correction: Empirical likelihood and estimation in varying coefficient models with right censored data	1
Applications of resampling methods in multivariate Liu estimator	1
Variable selection for multivariate functional data via conditional correlation learning	1
Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler	1
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	1
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling	1
Ranking handball teams from statistical strength estimation	1
Linear-quadratic quantile regression model with a change point due to a threshold covariate	1
Fitting sparse Markov models through a collapsed Gibbs sampler	1
Nonparametric derivative estimation with bimodal kernels under correlated errors	1
Confidence sub-contour box: an alternative to traditional confidence intervals	1
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	1
A statistical framework for analyzing housing quality: a case study of New York City	1
Optimal subsampling algorithm for composite quantile regression with distributed data	1
Methods for checking the Markov condition in multi-state survival data	1
Scoring probability maps in the basketball court with Indicator Kriging estimation	1
Applying the rescaling bootstrap under imputation for a multistage sampling design	1
Target-aware Bayesian inference via generalized thermodynamic integration	1
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients	1
Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes	1
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression	1
Polynomial whitening for high-dimensional data	1
Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data	1
Pair programming with ChatGPT for sampling and estimation of copulas	1
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	1
Multiple imputation with competing risk outcomes	1
Combination of optimization-free kriging models for high-dimensional problems	1
An exact sampler for fully Baysian elastic net	1
A Hard EM algorithm for prediction of the cured fraction in survival data	1
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index	1
Row mixture-based clustering with covariates for ordinal responses	1
A fast regression via SVD and marginalization	1
Multivariate understanding of income and expenditure in United States households with statistical learning	1