Computational Statistics

Article	Citations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	102
A software reliability model incorporating fault removal efficiency and it’s release policy	62
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	45
BARMPy: Bayesian additive regression models Python package	35
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	28
GOLFS: feature selection via combining both global and local information for high dimensional clustering	27
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	26
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	23
Reducing the overfitting in the gROC curve estimation	20
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	19
Generalised Bayesian sample copula of order m	19
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	18
Novel matrix hit and run for sampling polytopes and its GPU implementation	17
Multiway clustering with time-varying parameters	17
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	17
Large-scale dependent multiple testing via hidden semi-Markov models	15
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	14
Imbalanced data sampling design based on grid boundary domain for big data	13
Simultaneous confidence bands for multiple comparisons of several percentile lines	13
Network and attribute-based clustering of tennis players and tournaments	12
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	11
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	11
Generalized Reduced K–Means	11
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	10
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	10

Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	10
Expectile regression averaging method for probabilistic forecasting of electricity prices	9
Quicksort leave-pair-out cross-validation for ROC curve analysis	9
RMSE-minimizing confidence intervals for the binomial parameter	9
Tuning selection for two-scale kernel density estimators	9
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	8
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
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	7
Mixture models for simultaneous classification and reduction of three-way data	7
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	7
Bayesian flexible beta regression model with functional covariate	7
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	7
Conditional sufficient variable selection with prior information	6
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	6
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	6
Predictors with measurement error in mixtures of polynomial regressions	6
Functional regression models with functional response: a new approach and a comparative study	6
Informative right censoring in nonparametric survival models	6
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	6
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	6
Flexible, non-parametric modeling using regularized neural networks	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	6
Finite mixture of regression models for censored data based on the skew-t distribution	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
The 2019 data challenge expo of the American Statistical Association	5
A bootstrap test for threshold effects in a diffusion process	5
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	5
A flexible two-piece normal dynamic linear model	5
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	5
The concordance filter: an adaptive model-free feature screening procedure	5
Nonparametric binary regression models with spherical predictors based on the random forests kernel	5
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	5
Modeling of long-term survival data with unobserved dispersion via neural network	5
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	5
Improving upon the effective sample size based on Godambe information for block likelihood inference	5
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	5
Classifying for images based on the extracted probability density function and the quasi Bayesian method	4
A general stream sampling design	4
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	4
A note on imputing squares via polynomial combination approach	4
Two-sample mean vector projection test in high-dimensional data	4
Model aggregation for doubly divided data with large size and large dimension	4
Copula hidden Markov model with unknown number of states	4
An effective method for identifying clusters of robot strengths	4
Renewable learning for multiplicative regression with streaming datasets	4
High-dimensional penalized Bernstein support vector classifier	4
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	4
The corrected likelihood approach for adjusting measurement error in Cox’s model	4

Deterministic subsampling for logistic regression with massive data	4
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	4
Fast inference in copula models with categorical explanatory variables using the one-step procedure	4
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	4
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	4
Variable selection for categorical response: a comparative study	4
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	4
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	4
Multi-step estimators and shrinkage effect in time series models	4
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	4
Goodness-of-fit test procedures for degradation data	4
Analysis of excess deaths from COVID-19 in El Salvador through time series	4
Bayesian estimation and classification for two logistic populations with a common location	4
Penalized function-on-function linear quantile regression	3
FRODO: a novel approach to micro–macro multilevel regression	3
Using nomination sampling in estimating the area under the ROC curve	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
Profile transformations for reciprocal averaging and singular value decomposition	3
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Model selection using PRESS statistic	3
INet for network integration	3
Generalized linear model based on latent factors and supervised components	3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	3
Kernel density estimation by stagewise algorithm with a simple dictionary	3
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	3
On four-way CP model estimation efficiency	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
Housing variables and immigration: an exploratory analysis in New York City	3
Variational Bayesian Lasso for spline regression	3
Sparse estimation of linear model via Bayesian method$$^*$$	3
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	3
On the estimation of partially observed continuous-time Markov chains	3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees	3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
Exploring local explanations of nonlinear models using animated linear projections	3
A model-based approach to shot charts estimation in basketball	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
Rank estimation for the function-on-scalar model	3
Fitting concentric elliptical shapes under general model	3
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	3
Robust sparse Bayesian infinite factor models	3
Smallest covering regions and highest density regions for discrete distributions	3
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	2
Linear-quadratic quantile regression model with a change point due to a threshold covariate	2
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models	2
Deep support vector quantile regression with non-crossing constraints	2
SpICE: an interpretable method for spatial data	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Polynomial whitening for high-dimensional data	2
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model	2
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model	2
Learning causal graphs using variable grouping according to ancestral relationship	2
Parameter-expanded ECME algorithms for logistic and penalized logistic regression	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Applications of resampling methods in multivariate Liu estimator	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model	2
Performance of evaluation metrics for classification in imbalanced data	2
Monitoring time dependent image processes for detecting shifts in pixel intensities	2
Sparse online principal component analysis for parameter estimation in factor model	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
An adaptive importance sampling for locally stable point processes	2
Parameter-wise co-clustering for high-dimensional data	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
A Newton-based variant of Exclusive Lasso for improved sparse solutions	2
Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Adaptive smoothing spline estimator for the function-on-function linear regression model	2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	2

Semiparametric regression modelling of current status competing risks data: a Bayesian approach	2
Unsupervised learning on U.S. weather forecast performance	2
Survival modeling of goal arrival times in English premier league	2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	2
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	2
Bootstrapping binary GEV regressions for imbalanced datasets	2
Correction: Non-parametric entropy tests for Spatial dependence	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	2
Lasso multinomial performance indicators for in-play basketball data	2
Household energy expenditure and consumption patterns in the United States	2
Maximizing adjusted covariance: new supervised dimension reduction for classification	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Influence function-based confidence intervals for the Kendall rank correlation coefficient	2
Partial membership models for soft clustering of multivariate football player performance data	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
Scoring probability maps in the basketball court with Indicator Kriging estimation	2
An algorithm for generating efficient block designs via a novel particle swarm approach	2
Nonparametric derivative estimation with bimodal kernels under correlated errors	2
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning	2
Fast and consistent algorithm for the latent block model	2
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data	2
Distributed Generalized Linear Models: A Privacy-Preserving Approach	2
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process	2
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models	2
On the time of corner kicks in soccer: an analysis of event history data	2
Modal regression models based on B-splines	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
Policy evaluation using model over-fitting: the Nordic case	2
On the effectiveness of partially deterministic Bayesian neural networks	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
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Finding exclusive peak with permutation testing	2
Testing procedures based on maximum likelihood estimation for marked Hawkes processes	2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	2
Optimal subsampling algorithm for composite quantile regression with distributed data	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	2
Immigrant residency and happiness in New York City	2
Frequentist model averaging in the generalized multinomial logit model	2
Approximate Bayesian computation using asymptotically normal point estimates	1
Quantile regression with interval-censored data in questionnaire-based studies	1
The 2017 Data Challenge of the American Statistical Association	1
An extended approach for the generalized powered uniform distribution	1
Computer algorithms of lower-order confounding in regular designs	1
Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring	1
An evolutionary estimation procedure for generalized semilinear regression trees	1
Pair programming with ChatGPT for sampling and estimation of copulas	1
R-estimation in linear models: algorithms, complexity, challenges	1
Adjusting the adjusted Rand Index	1
Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images	1
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute	1
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index	1
A machine learning based regulatory risk index for cryptocurrencies	1
A copula-based Bayesian framework for doping detection	1
Partially functional linear expectile regression model with missing observations	1
Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ acceleration and restarting for nonlinear principal component analysis	1
Smote enhanced cumulative moment estimation for sufficient dimension reduction	1
Group sparse sufficient dimension reduction: a model-free group variable selection method	1
Bayesian sequential probability ratio test for vaccine efficacy trials	1
Overlapping coefficient in network-based semi-supervised clustering	1
Using reference models in variable selection	1
Target-aware Bayesian inference via generalized thermodynamic integration	1
The truncated g-and-h distribution: estimation and application to loss modeling	1
Threshold effect in varying coefficient models with unknown heteroskedasticity	1
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression	1
Simultaneous subgroup identification and variable selection for high dimensional data	1
Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference	1
An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso	1
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values	1
Random forest based quantile-oriented sensitivity analysis indices estimation	1
A general semiparametric maximum likelihood method for Cox regression models with nonmonotone missing at random covariates	1
Kernel regression for cause-specific hazard models with time-dependent coefficients	1
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring	1
Some new invariant sum tests and MAD tests for the assessment of Benford’s law	1
On the CTA-PLS test for hierarchical models: an application to the football player’s performance	1
Adaptive tests for ANOVA in Fisher–von Mises–Langevin populations under heteroscedasticity	1
A powerful penalized multinomial logistic regression approach	1
Leveraging single-case results to Bayesian hierarchical modelling	1
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family	1
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions	1
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 te	1
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data	1
A batch process for high dimensional imputation	1
Alternative ranking measures to predict international football results	1
House quality index construction and rent prediction in New York City with interactive visualization and product design	1
Pretest and shrinkage estimators for log-normal means	1
Clustering directional data through depth functions	1
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables	1
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood	1
Individualized treatment effect estimation with compromised adversarial nets	1