Computational Statistics

Article	Citations
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	83
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	46
GOLFS: feature selection via combining both global and local information for high dimensional clustering	40
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	26
Reducing the overfitting in the gROC curve estimation	23
BARMPy: Bayesian additive regression models Python package	22
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	21
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	20
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	19
A software reliability model incorporating fault removal efficiency and it’s release policy	19
Dynamic sampling from a discrete probability distribution with a known distribution of rates	18
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	16
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	13
Multiway clustering with time-varying parameters	13
Large-scale dependent multiple testing via hidden semi-Markov models	12
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	12
Imbalanced data sampling design based on grid boundary domain for big data	11
Simultaneous confidence bands for multiple comparisons of several percentile lines	11
Bayesian tests of symmetry for the generalized Von Mises distribution	10
Novel matrix hit and run for sampling polytopes and its GPU implementation	10
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling	10
Generalized Reduced K–Means	9
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	9
Generalised Bayesian sample copula of order m	8
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	8

Network and attribute-based clustering of tennis players and tournaments	8
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	8
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	8
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	7
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	7
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	7
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	7
Quicksort leave-pair-out cross-validation for ROC curve analysis	7
Predictors with measurement error in mixtures of polynomial regressions	6
Mixture models for simultaneous classification and reduction of three-way data	6
RMSE-minimizing confidence intervals for the binomial parameter	6
Statistical inference in massive datasets by empirical likelihood	6
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	6
Bayesian flexible beta regression model with functional covariate	6
Expectile regression averaging method for probabilistic forecasting of electricity prices	6
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	6
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	6
Tuning selection for two-scale kernel density estimators	6
Finite mixture of regression models for censored data based on the skew-t distribution	5
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	5
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	5
The concordance filter: an adaptive model-free feature screening procedure	5
Flexible, non-parametric modeling using regularized neural networks	5
Informative right censoring in nonparametric survival models	5
Modeling of long-term survival data with unobserved dispersion via neural network	5
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	5
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	5
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	5
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	5
Model aggregation for doubly divided data with large size and large dimension	4
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	4
On community structure validation in real networks	4
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	4
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	4
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	4
Copula hidden Markov model with unknown number of states	4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	4
The 2019 data challenge expo of the American Statistical Association	4
A flexible two-piece normal dynamic linear model	4
Conditional sufficient variable selection with prior information	4
A bootstrap test for threshold effects in a diffusion process	4
An effective method for identifying clusters of robot strengths	4
Analysis of excess deaths from COVID-19 in El Salvador through time series	4
Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach	4
Nonparametric binary regression models with spherical predictors based on the random forests kernel	4
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	4
Functional regression models with functional response: a new approach and a comparative study	4
Nonparametric estimation of expected shortfall for α-mixing financial losses	4
Improving upon the effective sample size based on Godambe information for block likelihood inference	4
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	4

Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	4
Bayesian estimation and classification for two logistic populations with a common location	4
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	4
Housing variables and immigration: an exploratory analysis in New York City	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
On four-way CP model estimation efficiency	3
Variable selection for categorical response: a comparative study	3
A model-based approach to shot charts estimation in basketball	3
Two-sample mean vector projection test in high-dimensional data	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Deterministic subsampling for logistic regression with massive data	3
Profile transformations for reciprocal averaging and singular value decomposition	3
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
Penalized wavelet estimation and robust denoising for irregular spaced data	3
Variational Bayesian Lasso for spline regression	3
FRODO: a novel approach to micro–macro multilevel regression	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	3
The corrected likelihood approach for adjusting measurement error in Cox’s model	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	3
Exploring local explanations of nonlinear models using animated linear projections	3
A general stream sampling design	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	3
A note on imputing squares via polynomial combination approach	3
High-dimensional penalized Bernstein support vector classifier	3
Multi-step estimators and shrinkage effect in time series models	3
Renewable learning for multiplicative regression with streaming datasets	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	3
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	2
An adaptive importance sampling for locally stable point processes	2
Linear-quadratic quantile regression model with a change point due to a threshold covariate	2
Rank estimation for the function-on-scalar model	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
INet for network integration	2
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Fast and consistent algorithm for the latent block model	2
Nonparametric derivative estimation with bimodal kernels under correlated errors	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
New approximate Bayesian computation algorithm for censored data	2
Optimal subsampling algorithm for composite quantile regression with distributed data	2
Learning causal graphs using variable grouping according to ancestral relationship	2
Immigrant residency and happiness in New York City	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
Scoring probability maps in the basketball court with Indicator Kriging estimation	2
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
Partial membership models for soft clustering of multivariate football player performance data	2
Kernel density estimation by stagewise algorithm with a simple dictionary	2
Lasso multinomial performance indicators for in-play basketball data	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
Model selection using PRESS statistic	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
Frequentist model averaging in the generalized multinomial logit model	2
Performance of evaluation metrics for classification in imbalanced data	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	2
On the estimation of partially observed continuous-time Markov chains	2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	2
Monitoring time dependent image processes for detecting shifts in pixel intensities	2
Applications of resampling methods in multivariate Liu estimator	2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting	2
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data	2
Finding exclusive peak with permutation testing	2
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients	2
Household energy expenditure and consumption patterns in the United States	2

Robust sparse Bayesian infinite factor models	2
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	2
Robust order selection of mixtures of regression models with random effects	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Robust estimation of the number of factors for the pair-elliptical factor models	2
Smallest covering regions and highest density regions for discrete distributions	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
Penalized function-on-function linear quantile regression	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Using nomination sampling in estimating the area under the ROC curve	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
Generalized linear model based on latent factors and supervised components	2
Deep support vector quantile regression with non-crossing constraints	2
On the effectiveness of partially deterministic Bayesian neural networks	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
A Newton-based variant of Exclusive Lasso for improved sparse solutions	2
Fitting concentric elliptical shapes under general model	2
Influence function-based confidence intervals for the Kendall rank correlation coefficient	2
Maximizing adjusted covariance: new supervised dimension reduction for classification	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2