Computational Statistics

Papers
(The median citation count of Computational Statistics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map43
BARMPy: Bayesian additive regression models Python package42
Reducing the overfitting in the gROC curve estimation26
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data25
A software reliability model incorporating fault removal efficiency and it’s release policy24
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors23
Efficient online estimation for nonparametric regression models with streaming data23
GOLFS: feature selection via combining both global and local information for high dimensional clustering21
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model20
Generalised Bayesian sample copula of order m19
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis17
Novel matrix hit and run for sampling polytopes and its GPU implementation15
Multiway clustering with time-varying parameters14
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain12
Simultaneous confidence bands for multiple comparisons of several percentile lines12
Network and attribute-based clustering of tennis players and tournaments10
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data10
FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework9
Conformal outlier detection for multivariate functional data9
Large-scale dependent multiple testing via hidden semi-Markov models9
Imbalanced data sampling design based on grid boundary domain for big data9
Estimation and model selection of heterogeneous mixture distributions: an ECME algorithm-based approach9
Quicksort leave-pair-out cross-validation for ROC curve analysis9
Area-based epigraph and hypograph indices for functional outlier detection9
Generalized Reduced K–Means9
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting8
Mixture models for simultaneous classification and reduction of three-way data8
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models8
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package8
Kendall correlations and radar charts to include goals for and goals against in soccer rankings8
A model-based restricted shapley value to measure the players’ contribution to shot actions in football7
Informative right censoring in nonparametric survival models7
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models7
Conditional sufficient variable selection with prior information7
Expectile regression averaging method for probabilistic forecasting of electricity prices7
Confidence intervals for Random Forest permutation importance with missing data7
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging7
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate6
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning6
Intrinsic geometry-inspired dependent toroidal distribution: application to regression model for astigmatism data6
Modeling of long-term survival data with unobserved dispersion via neural network6
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction6
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions6
A flexible two-piece normal dynamic linear model6
Nonparametric estimation of expected shortfall for α-mixing financial losses6
The 2019 data challenge expo of the American Statistical Association5
Finite mixture of regression models for censored data based on the skew-t distribution5
A bootstrap-enhanced fisher scoring algorithm for parameter estimation in state-space models5
Goodness-of-fit test procedures for degradation data5
A bootstrap test for threshold effects in a diffusion process5
The corrected likelihood approach for adjusting measurement error in Cox’s model5
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models5
The concordance filter: an adaptive model-free feature screening procedure5
Fast inference in copula models with categorical explanatory variables using the one-step procedure5
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization5
Copula hidden Markov model with unknown number of states5
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients5
High-dimensional penalized Bernstein support vector classifier5
An effective method for identifying clusters of robot strengths5
Improving upon the effective sample size based on Godambe information for block likelihood inference5
Functional regression models with functional response: a new approach and a comparative study5
On the simulation of truncated stable distributions: a correction to the literature5
Analysis of excess deaths from COVID-19 in El Salvador through time series5
Nonparametric binary regression models with spherical predictors based on the random forests kernel5
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression5
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions5
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion5
A novel unit exponential regression model with improved estimation method under multicollinearity4
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior4
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates4
A general stream sampling design4
FRODO: a novel approach to micro–macro multilevel regression4
Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model4
The power of visualizing distributional differences: formal graphical n-sample tests4
Variable selection via non-convex group penalization for high-dimensional nonparametric additive panel data models with fixed effects4
Variational Bayesian Lasso for spline regression4
A model-based approach to shot charts estimation in basketball4
On the simulation of general multivariate gamma distributions using Dickman approximations4
Bayesian adaptive lasso quantile regression with non-ignorable missing responses4
Classifying for images based on the extracted probability density function and the quasi Bayesian method4
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models4
Two-sample mean vector projection test in high-dimensional data4
Renewable learning for multiplicative regression with streaming datasets4
Profile transformations for reciprocal averaging and singular value decomposition4
Deterministic subsampling for logistic regression with massive data4
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis4
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness4
Multi-pass Bayesian estimation: a robust Bayesian method4
Golf strategy optimization and the “Drive for show, putt for dough” adage4
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test4
Robust expert mixtures: handling censored data with normal mean-variance mixture distributions4
Multi-step estimators and shrinkage effect in time series models4
Housing variables and immigration: an exploratory analysis in New York City4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery4
Kernel density estimation by stagewise algorithm with a simple dictionary4
On exhaustive sufficient dimension reduction methods for massive datasets4
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation4
Exploring local explanations of nonlinear models using animated linear projections4
On four-way CP model estimation efficiency4
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education3
On the estimation of partially observed continuous-time Markov chains3
Learning causal graphs using variable grouping according to ancestral relationship3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks3
Rank estimation for the function-on-scalar model3
Penalized function-on-function linear quantile regression3
Distributed Generalized Linear Models: A Privacy-Preserving Approach3
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data3
Household energy expenditure and consumption patterns in the United States3
Finding exclusive peak with permutation testing3
Fast and consistent algorithm for the latent block model3
Balanced random assignments for multiple treatment groups using the Cube method3
INet for network integration3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure3
Generalized linear model based on latent factors and supervised components3
Sparse estimation of linear model via Bayesian method$$^*$$3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization3
An adaptive importance sampling for locally stable point processes3
Iterative causal discovery uncovers dynamic effects in wearable exercise data3
Bayesian nonparametric hypothesis testing methods on multiple comparisons3
Bayesian model averaging for VAR models: gretl-based implementation3
Deep neural network estimation of average treatment effects based on quantile regression3
Frequentist model averaging in the generalized multinomial logit model3
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss3
Fitting concentric elliptical shapes under general model3
Using nomination sampling in estimating the area under the ROC curve3
Density estimation for log-transformed data3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures3
Matrix-valued AutoRegressive (MAR) models in gretl3
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting3
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution3
Enhancing the interpretability of non-linear proportional hazard models introducing ghost variables3
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model2
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning2
An adaptive triple-shrinkage framework for linear models with oracle properties2
Partial membership models for soft clustering of multivariate football player performance data2
Modal regression models based on B-splines2
Survival modeling of goal arrival times in English premier league2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data2
A subspace aggregating algorithm for accurate classification2
Sparse online principal component analysis for parameter estimation in factor model2
Bayesian optimal design for $$2 \times 2$$ binary crossover trials using copula2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting2
Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints2
Linear-quadratic quantile regression model with a change point due to a threshold covariate2
Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions2
Correction: Non-parametric entropy tests for Spatial dependence2
Influence function-based confidence intervals for the Kendall rank correlation coefficient2
Nonparametric derivative estimation with bimodal kernels under correlated errors2
Parameter-expanded ECME algorithms for logistic and penalized logistic regression2
Performance of evaluation metrics for classification in imbalanced data2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures2
Bounds in Wasserstein distance for locally stationary functional time series2
Scoring probability maps in the basketball court with Indicator Kriging estimation2
Maximizing adjusted covariance: new supervised dimension reduction for classification2
Quasi-likelihood-based EM algorithm for regime-switching SDE2
Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types2
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data2
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data2
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model2
Analysis of gender equality in US college sports’ funding via spatial clustering2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test2
Right-censored models on massive data2
Monitoring time dependent image processes for detecting shifts in pixel intensities2
Bootstrapping binary GEV regressions for imbalanced datasets2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico2
Polynomial whitening for high-dimensional data2
Robust Bayesian variable selection for the quantile varying coefficient model2
Fast Bayesian basis selection for functional data representation with correlated errors2
A Newton-based variant of Exclusive Lasso for improved sparse solutions2
An algorithm for generating efficient block designs via a novel particle swarm approach2
Density estimation and conditional density estimation via a least squares reconstruction method2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes2
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network2
On the effectiveness of partially deterministic Bayesian neural networks2
Optimal designs for longitudinal trials with discrete-time survival endpoints2
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods2
Testing procedures based on maximum likelihood estimation for marked Hawkes processes2
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models2
Flexible scale mixtures of skewed generalized normal distributions: properties and inference2
Unsupervised learning on U.S. weather forecast performance2
Optimal subsampling algorithm for composite quantile regression with distributed data2
On the time of corner kicks in soccer: an analysis of event history data2
Estimating the signal dimension in multivariate time series using augmented second order source separation methods2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations2
Sparse Bayesian multidimensional scaling(s)2
Deep support vector quantile regression with non-crossing constraints2
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models2
Lasso multinomial performance indicators for in-play basketball data2
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies2
Outer-product-of-gradient approach based on random forests Kernel and its application for classification2
Immigrant residency and happiness in New York City2
Policy evaluation using model over-fitting: the Nordic case2
A comparative study of sampling techniques for generating correlated multivariate normal random variates2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions2
Parameter-wise co-clustering for high-dimensional data2
Change point detection using Bayesian adaptive LASSO quantile regression2
Applications of resampling methods in multivariate Liu estimator2
A reduced basis decomposition approach to efficient data collection in pairwise comparison studies2
Latent class analysis by regularized spectral clustering1
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood1
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions1
Pretest and shrinkage estimators for log-normal means1
Optimizing the accuracy of stock price prediction: accessing the prospects of LSTM with geometric mean layer normalization1
Adaptive tests for ANOVA in Fisher–von Mises–Langevin populations under heteroscedasticity1
Enhancing univariate time series forecasting: a general tree-based model selection approach1
Leveraging single-case results to Bayesian hierarchical modelling1
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute1
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family1
Weather fluctuations and the (German) industrial sector1
Simultaneous subgroup identification and variable selection for high dimensional data1
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring1
R-estimation in linear models: algorithms, complexity, challenges1
Computer algorithms of lower-order confounding in regular designs1
Clustering directional data through depth functions1
Interpretable contour level selection for heat maps for gridded data1
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression1
Overlapping coefficient in network-based semi-supervised clustering1
Quantile regression with interval-censored data in questionnaire-based studies1
On the CTA-PLS test for hierarchical models: an application to the football player’s performance1
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey’s biweight function1
Partially functional linear expectile regression model with missing observations1
A machine learning based regulatory risk index for cryptocurrencies1
Quantile adaptive feature screening for ultra-high dimensional longitudinal heterogeneous data1
Threshold effect in varying coefficient models with unknown heteroskedasticity1
Pair programming with ChatGPT for sampling and estimation of copulas1
A batch process for high dimensional imputation1
Fuzzy clustering of time series based on weighted conditional higher moments1
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values1
Deep learning based posterior sampling for high-dimensional linear inverse problems1
Group sparse sufficient dimension reduction: a model-free group variable selection method1
A powerful penalized multinomial logistic regression approach1
Poisson subsampling for large-scale functional data analysis1
Bayesian sequential probability ratio test for vaccine efficacy trials1
Alternative ranking measures to predict international football results1
An extended approach for the generalized powered uniform distribution1
A framework to efficiently smooth L1 penalties for linear regression1
Advanced data analysis with gretl1
Random forest based quantile-oriented sensitivity analysis indices estimation1
A Metropolis–Hastings Robbins–Monro algorithm via variational inference for estimating the multidimensional graded response model: a calculationally efficient estimation scheme to deal with complex te1
Target-aware Bayesian inference via generalized thermodynamic integration1
Robust estimation of functional factor models with functional pairwise spatial signs1
Robust image segmentation using EM-based models with TV regularization and alpha-stable distributions1
Some new invariant sum tests and MAD tests for the assessment of Benford’s law1
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