Computational Statistics

Article	Citations
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	80
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	42
GOLFS: feature selection via combining both global and local information for high dimensional clustering	35
A software reliability model incorporating fault removal efficiency and it’s release policy	25
Reducing the overfitting in the gROC curve estimation	22
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	22
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	20
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	18
BARMPy: Bayesian additive regression models Python package	18
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	18
Dynamic sampling from a discrete probability distribution with a known distribution of rates	17
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	12
Large-scale dependent multiple testing via hidden semi-Markov models	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
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	11
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
Bayesian tests of symmetry for the generalized Von Mises distribution	10
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	9
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	8
Network and attribute-based clustering of tennis players and tournaments	8
Generalized Reduced K–Means	8

Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	8
Generalised Bayesian sample copula of order m	8
Expectile regression averaging method for probabilistic forecasting of electricity prices	7
Predictors with measurement error in mixtures of polynomial regressions	7
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	7
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	7
Quicksort leave-pair-out cross-validation for ROC curve analysis	7
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	7
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	7
Bayesian flexible beta regression model with functional covariate	6
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	6
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	6
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	6
RMSE-minimizing confidence intervals for the binomial parameter	6
Statistical inference in massive datasets by empirical likelihood	6
Tuning selection for two-scale kernel density estimators	6
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	6
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	6
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	5
Modeling of long-term survival data with unobserved dispersion via neural network	5
Mixture models for simultaneous classification and reduction of three-way data	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
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
Flexible, non-parametric modeling using regularized neural networks	5
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	4
Copula hidden Markov model with unknown number of states	4
Improving upon the effective sample size based on Godambe information for block likelihood inference	4
The 2019 data challenge expo of the American Statistical Association	4
Conditional sufficient variable selection with prior information	4
A flexible two-piece normal dynamic linear model	4
Multimodal information gain in Bayesian design of experiments	4
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	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
On community structure validation in real networks	4
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	4
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	4
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	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
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	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
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

Model aggregation for doubly divided data with large size and large dimension	4
Informative right censoring in nonparametric survival models	4
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	4
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	4
High-dimensional penalized Bernstein support vector classifier	3
Two-sample mean vector projection test in high-dimensional data	3
A model-based approach to shot charts estimation in basketball	3
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
On four-way CP model estimation efficiency	3
Housing variables and immigration: an exploratory analysis in New York City	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	3
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	3
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	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
Variational Bayesian Lasso for spline regression	3
Variable selection for categorical response: a comparative study	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
FRODO: a novel approach to micro–macro multilevel regression	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
The corrected likelihood approach for adjusting measurement error in Cox’s model	3
Deterministic subsampling for logistic regression with massive data	3
A general stream sampling design	3
Penalized wavelet estimation and robust denoising for irregular spaced data	3
New approximate Bayesian computation algorithm for censored data	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Exploring local explanations of nonlinear models using animated linear projections	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
Profile transformations for reciprocal averaging and singular value decomposition	3
Renewable learning for multiplicative regression with streaming datasets	3
Multi-step estimators and shrinkage effect in time series models	3
Kernel density estimation by stagewise algorithm with a simple dictionary	2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	2
Finding exclusive peak with permutation testing	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
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
Frequentist model averaging in the generalized multinomial logit model	2
Nonparametric derivative estimation with bimodal kernels under correlated errors	2
INet for network integration	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	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
Deep support vector quantile regression with non-crossing constraints	2
Learning causal graphs using variable grouping according to ancestral relationship	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
A Newton-based variant of Exclusive Lasso for improved sparse solutions	2
Generalized linear model based on latent factors and supervised components	2
Optimal subsampling algorithm for composite quantile regression with distributed data	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels	2
Immigrant residency and happiness in New York City	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Partial membership models for soft clustering of multivariate football player performance data	2
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Using nomination sampling in estimating the area under the ROC curve	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Robust sparse Bayesian infinite factor models	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
An adaptive importance sampling for locally stable point processes	2
Fitting concentric elliptical shapes under general model	2
Robust order selection of mixtures of regression models with random effects	2
On the estimation of partially observed continuous-time Markov chains	2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2

Performance of evaluation metrics for classification in imbalanced data	2
Monitoring time dependent image processes for detecting shifts in pixel intensities	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
Rank estimation for the function-on-scalar model	2
Linear-quadratic quantile regression model with a change point due to a threshold covariate	2
Model selection using PRESS statistic	2
On the effectiveness of partially deterministic Bayesian neural networks	2
Penalized function-on-function linear quantile regression	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
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting	2
Lasso multinomial performance indicators for in-play basketball data	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Applications of resampling methods in multivariate Liu estimator	2
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	2