Computational Statistics

Article	Citations
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	67
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	34
GOLFS: feature selection via combining both global and local information for high dimensional clustering	33
BARMPy: Bayesian additive regression models Python package	27
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	22
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	19
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	17
Reducing the overfitting in the gROC curve estimation	17
A software reliability model incorporating fault removal efficiency and it’s release policy	17
Bayesian tests of symmetry for the generalized Von Mises distribution	15
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	15
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	13
Dynamic sampling from a discrete probability distribution with a known distribution of rates	13
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	11
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	11
Multiway clustering with time-varying parameters	11
Generalised Bayesian sample copula of order m	10
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	10
Large-scale dependent multiple testing via hidden semi-Markov models	10
Imbalanced data sampling design based on grid boundary domain for big data	9
Simultaneous confidence bands for multiple comparisons of several percentile lines	9
Novel matrix hit and run for sampling polytopes and its GPU implementation	9
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling	8
Network and attribute-based clustering of tennis players and tournaments	8
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	8

Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring	8
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	8
Generalized Reduced K–Means	8
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	7
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	7
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	6
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	6
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	6
Mixture models for simultaneous classification and reduction of three-way data	6
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	6
Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization	6
Quicksort leave-pair-out cross-validation for ROC curve analysis	6
Expectile regression averaging method for probabilistic forecasting of electricity prices	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	5
Statistical inference in massive datasets by empirical likelihood	5
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	5
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Bayesian flexible beta regression model with functional covariate	5
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	5
Tuning selection for two-scale kernel density estimators	5
The concordance filter: an adaptive model-free feature screening procedure	5
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	5
Predictors with measurement error in mixtures of polynomial regressions	5
RMSE-minimizing confidence intervals for the binomial parameter	5
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	4
On community structure validation in real networks	4
Conditional sufficient variable selection with prior information	4
The 2019 data challenge expo of the American Statistical Association	4
Informative right censoring in nonparametric survival models	4
Multimodal information gain in Bayesian design of experiments	4
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	4
Functional regression models with functional response: a new approach and a comparative study	4
Finite mixture of regression models for censored data based on the skew-t distribution	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
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	4
Permutation tests for mixed paired and two-sample designs	4
Flexible, non-parametric modeling using regularized neural networks	4
Modeling of long-term survival data with unobserved dispersion via neural network	4
An algorithm of generating random number by wavelet denoising method and its application	4
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	4
Graphical tests of independence for general distributions	3
Copula hidden Markov model with unknown number of states	3
A general stream sampling design	3
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	3
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	3
Improving upon the effective sample size based on Godambe information for block likelihood inference	3
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	3

A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach	3
High-dimensional penalized Bernstein support vector classifier	3
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	3
Multi-step estimators and shrinkage effect in time series models	3
Bayesian estimation and classification for two logistic populations with a common location	3
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	3
Nonparametric binary regression models with spherical predictors based on the random forests kernel	3
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	3
Renewable learning for multiplicative regression with streaming datasets	3
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	3
Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data	3
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	3
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	3
Two-sample mean vector projection test in high-dimensional data	3
A bootstrap test for threshold effects in a diffusion process	3
Model aggregation for doubly divided data with large size and large dimension	3
Deterministic subsampling for logistic regression with massive data	3
A model-based approach to shot charts estimation in basketball	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
An effective method for identifying clusters of robot strengths	3
Robust sparse Bayesian infinite factor models	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Rank estimation for the function-on-scalar model	2
Robust estimation of the number of factors for the pair-elliptical factor models	2
Penalized function-on-function linear quantile regression	2
A new approach in model selection for ordinal target variables	2
Finding exclusive peak with permutation testing	2
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	2
Deep support vector quantile regression with non-crossing constraints	2
Model selection using PRESS statistic	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	2
Fitting concentric elliptical shapes under general model	2
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	2
Variational Bayesian Lasso for spline regression	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Variable selection for categorical response: a comparative study	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Reduced multidimensional scaling	2
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Using nomination sampling in estimating the area under the ROC curve	2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
Lasso multinomial performance indicators for in-play basketball data	2
Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme	2
Kernel density estimation by stagewise algorithm with a simple dictionary	2
Penalized spline estimation for panel count data model with time-varying coefficients	2
INet for network integration	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
Exploring local explanations of nonlinear models using animated linear projections	2
Generalized linear model based on latent factors and supervised components	2
Frequentist model averaging in the generalized multinomial logit model	2
Multi-pass Bayesian estimation: a robust Bayesian method	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
A note on imputing squares via polynomial combination approach	2
Fast and consistent algorithm for the latent block model	2
New approximate Bayesian computation algorithm for censored data	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
A computational validation for nonparametric assessment of spatial trends	2
Household energy expenditure and consumption patterns in the United States	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
An adaptive importance sampling for locally stable point processes	2
Smallest covering regions and highest density regions for discrete distributions	2
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Housing variables and immigration: an exploratory analysis in New York City	2
On the estimation of partially observed continuous-time Markov chains	2
Profile transformations for reciprocal averaging and singular value decomposition	2
On four-way CP model estimation efficiency	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Penalized wavelet estimation and robust denoising for irregular spaced data	2
Correction: Empirical likelihood and estimation in varying coefficient models with right censored data	1

An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	1
Multiple imputation with competing risk outcomes	1
Ranking handball teams from statistical strength estimation	1
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	1
Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data	1
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	1
Smoothed quantile regression for censored residual life	1
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients	1
A statistical framework for analyzing housing quality: a case study of New York City	1
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models	1
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	1
Survival modeling of goal arrival times in English premier league	1
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	1
Modified minimum distance estimators: definition, properties and applications	1
A semi-parametric approach to feature selection in high-dimensional linear regression models	1
Policy evaluation using model over-fitting: the Nordic case	1
Scoring probability maps in the basketball court with Indicator Kriging estimation	1
Analysis of progressive type-II censored gamma distribution	1
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model	1
Robust order selection of mixtures of regression models with random effects	1
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach	1
Bootstrapping binary GEV regressions for imbalanced datasets	1
Bayesian optimal design for $$2 \times 2$$ binary crossover trials using copula	1
Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts	1
Sparse online principal component analysis for parameter estimation in factor model	1
Shapiro-Wilk test for multivariate skew-normality	1
Let’s talk about the weather: a cluster-based approach to weather forecast accuracy	1
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data	1
Computational advances for spatio-temporal multivariate environmental models	1
Laplace regression with clustered censored data	1
Applications of resampling methods in multivariate Liu estimator	1
Jackknife empirical likelihood based diagnostic checking for Ar(p) models	1
Row mixture-based clustering with covariates for ordinal responses	1
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	1
Generative models and Bayesian inversion using Laplace approximation	1
Correction to: Bayesian estimation of the number of species from Poisson–Lindley stochastic abundance model using non-informative priors	1
On the effectiveness of partially deterministic Bayesian neural networks	1
Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes	1
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	1
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	1
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	1
An improved exact sampling algorithm for the standard normal distribution	1
Variable selection for multivariate functional data via conditional correlation learning	1
Parameter-wise co-clustering for high-dimensional data	1
Maximizing adjusted covariance: new supervised dimension reduction for classification	1
Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach	1
A fast regression via SVD and marginalization	1
Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler	1
Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables	1
Parameter-expanded ECME algorithms for logistic and penalized logistic regression	1
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data	1
Models under which random forests perform badly; consequences for applications	1
Semiparametric regression modelling of current status competing risks data: a Bayesian approach	1
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	1
Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function	1
Unsupervised learning on U.S. weather forecast performance	1
On the time of corner kicks in soccer: an analysis of event history data	1
Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique	1
SpICE: an interpretable method for spatial data	1
Weighted LAD-Liu-LASSO for robust estimation and sparsity	1
Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies	1
Influence function-based confidence intervals for the Kendall rank correlation coefficient	1
Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques	1
A Hard EM algorithm for prediction of the cured fraction in survival data	1
Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data	1
Projection predictive variable selection for discrete response families with finite support	1
A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure	1
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	1
A Monte Carlo permutation procedure for testing variance components in generalized linear regression models	1
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	1
Overcoming convergence problems in PLS path modelling	1
Performance of evaluation metrics for classification in imbalanced data	1
Combination of optimization-free kriging models for high-dimensional problems	1
Adaptive smoothing spline estimator for the function-on-function linear regression model	1
Nonparametric derivative estimation with bimodal kernels under correlated errors	1
Multivariate understanding of income and expenditure in United States households with statistical learning	1
An algorithm for generating efficient block designs via a novel particle swarm approach	1
Bayesian joint inference for multivariate quantile regression model with L$$_{1/2}$$ penalty	1
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model	1
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	1
A simulated annealing-based algorithm for selecting balanced samples	1
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process	1
Optimal subsampling algorithm for composite quantile regression with distributed data	1
Incremental singular value decomposition for some numerical aspects of multiblock redundancy analysis	1
Fast Bayesian Inference for Birnbaum-Saunders Distribution	1
Immigrant residency and happiness in New York City	1
Eras of dominance: identifying strong and weak periods in professional tennis	1
A subspace aggregating algorithm for accurate classification	1
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models	1
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students	1
Modal regression models based on B-splines	1
Applying the rescaling bootstrap under imputation for a multistage sampling design	1
A new approach to modeling the cure rate in the presence of interval censored data	1
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	1
An exact sampler for fully Baysian elastic net	1