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 2020-11-01 to 2024-11-01.)
ArticleCitations
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features51
Bayesian survival analysis for adaptive Type-II progressive hybrid censored Hjorth data34
Analysis of progressive type-II censored gamma distribution20
Shapiro-Wilk test for multivariate skew-normality20
Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models19
A new two-parameter discrete poisson-generalized Lindley distribution with properties and applications to healthcare data sets15
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data14
Reliability inference for multicomponent stress–strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples13
The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition12
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients12
Adjusting the adjusted Rand Index11
Variables skip-lot sampling plans on the basis of process capability index for products with a low fraction of defectives11
Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization10
Bayesian wavelet shrinkage with beta priors10
Optimal subsample selection for massive logistic regression with distributed data10
Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme9
Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation9
Objective Bayesian analysis for generalized exponential stress–strength model9
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data9
Using reference models in variable selection9
A partial least squares approach for function-on-function interaction regression9
Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data7
Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors7
Supervised classification of curves via a combined use of functional data analysis and tree-based methods7
A comparison of optimization solvers for log binomial regression including conic programming7
GSDAR: a fast Newton algorithm for $$\ell _0$$ regularized generalized linear models with statistical guarantee7
Jump Markov chains and rejection-free Metropolis algorithms7
A software reliability model incorporating fault removal efficiency and it’s release policy7
Genetic algorithm approach with an adaptive search space based on EM algorithm in two-component mixture Weibull parameter estimation7
Mixture cure rate models with neural network estimated nonparametric components7
The 2016 Data Challenge of the American Statistical Association7
Fair evaluation of classifier predictive performance based on binary confusion matrix6
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels6
Adaptive smoothing spline estimator for the function-on-function linear regression model6
Fast simulation of tempered stable Ornstein–Uhlenbeck processes6
Nonparametric estimation of a distribution function from doubly truncated data under dependence6
Multimodal information gain in Bayesian design of experiments6
A new approach to modeling the cure rate in the presence of interval censored data6
Direct statistical inference for finite Markov jump processes via the matrix exponential5
Statistical inference for mixture GARCH models with financial application5
Moving dynamic principal component analysis for non-stationary multivariate time series5
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey’s biweight function5
Comparison of the EM, CEM and SEM algorithms in the estimation of finite mixtures of linear mixed models: a simulation study5
Influence function-based confidence intervals for the Kendall rank correlation coefficient5
Predictive modeling of maximum injury severity and potential economic cost in a car accident based on the General Estimates System data5
Methods for checking the Markov condition in multi-state survival data5
Bayesian spectral density estimation using P-splines with quantile-based knot placement5
Accelerated failure time models for recurrent event data analysis and joint modeling5
Computational advances for spatio-temporal multivariate environmental models5
Spatial CART classification trees5
Renewable learning for multiplicative regression with streaming datasets4
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers4
The 2019 data challenge expo of the American Statistical Association4
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models4
The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality4
On the transition laws of p-tempered $$\alpha $$-stable OU-processes4
Bayesian tests of symmetry for the generalized Von Mises distribution4
Additive models with autoregressive symmetric errors based on penalized regression splines4
House quality index construction and rent prediction in New York City with interactive visualization and product design4
Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach4
Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference4
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring4
Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables4
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models4
New classes of tests for the Weibull distribution using Stein’s method in the presence of random right censoring4
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization4
Adaptive step-length selection in gradient boosting for Gaussian location and scale models4
On community structure validation in real networks4
Estimation of parameters of logistic regression for two-stage randomized response technique4
Volatility forecasting using deep recurrent neural networks as GARCH models4
Designing robust modified R control charts for asymmetric distributions under ranked set and median ranked set sampling4
Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data3
Linear models for multivariate repeated measures data with block exchangeable covariance structure3
Household energy expenditure and consumption patterns in the United States3
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education3
Two sample tests for Semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis3
Algorithm for error-free determination of the variance of all contiguous subsequences and fixed-length contiguous subsequences for a sequence of industrial measurement data3
A new computational approach for estimation of the Gini index based on grouped data3
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations3
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering3
The 2017 Data Challenge of the American Statistical Association3
Bayesian joint inference for multivariate quantile regression model with L$$_{1/2}$$ penalty3
Reduced multidimensional scaling3
A new algorithm for fitting semi-parametric variance regression models3
Obtaining a threshold for the stewart index and its extension to ridge regression3
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting3
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability3
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior3
Efficient particle smoothing for Bayesian inference in dynamic survival models3
Model selection using PRESS statistic3
Uncertainty quantification and estimation of closed curves based on noisy data3
Smallest covering regions and highest density regions for discrete distributions3
An algorithm of generating random number by wavelet denoising method and its application3
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables3
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning3
Feature selection algorithms in generalized additive models under concurvity3
A new estimation for INAR(1) process with Poisson distribution3
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients3
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models3
Factor dimension determination for panel interactive effects models: an orthogonal projection approach3
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling3
A computational validation for nonparametric assessment of spatial trends3
A new non-archimedean metric on persistent homology3
Models under which random forests perform badly; consequences for applications2
Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring2
Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model2
Bayesian regression models in gretl: the BayTool package2
Multivariate understanding of income and expenditure in United States households with statistical learning2
Variational approximation for importance sampling2
Penalized spline estimation for panel count data model with time-varying coefficients2
Topic based quality indexes assessment through sentiment2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach2
Bayesian inference for fractional Oscillating Brownian motion2
A batch process for high dimensional imputation2
Clustering of longitudinal curves via a penalized method and EM algorithm2
Outlier detection under a covariate-adjusted exponential regression model with censored data2
Parameter-wise co-clustering for high-dimensional data2
An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units2
Adaptive tests for ANOVA in Fisher–von Mises–Langevin populations under heteroscedasticity2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression2
An adapted loss function for composite quantile regression with censored data2
On the exact distribution of the likelihood ratio test statistic for testing the homogeneity of the scale parameters of several inverse Gaussian distributions2
Smoothed quantile regression for censored residual life2
A simulated annealing-based algorithm for selecting balanced samples2
Decomposition of the Gini index by income source for aggregated data and its applications2
Penalized function-on-function linear quantile regression2
Distributed identification of heterogeneous treatment effects2
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression2
Multiple partition Markov model for B.1.1.7, B.1.351, B.1.617.2, and P.1 variants of SARS-CoV 2 virus2
A computationally efficient approach to estimating species richness and rarefaction curve2
Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data2
A fast regression via SVD and marginalization2
An analysis of the impact of rent control on New York City housing2
An analysis of crash-safety ratings and the true assessment of injuries by vehicle2
Permutation tests for mixed paired and two-sample designs2
Bayesian group selection with non-local priors2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods2
Pretest and shrinkage estimators for log-normal means2
Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process2
The 2018 data challenge expo of the American statistical association2
Sparse online principal component analysis for parameter estimation in factor model2
Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout2
A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study2
Covariance matrix testing in high dimension using random projections2
A bootstrap test for threshold effects in a diffusion process2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures2
bccp: an R package for life-testing and survival analysis2
A hierarchical clustering method for random intervals based on a similarity measure2
Likelihood inference for unified transformation cure model with interval censored data2
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution2
Graphical tests of independence for general distributions2
Explainable Ensemble Trees2
Unified mean-variance feature screening for ultrahigh-dimensional regression2
Flexible, non-parametric modeling using regularized neural networks1
Bayesian flexible beta regression model with functional covariate1
A cluster-based taxonomy of bus crashes in the United States1
Community detection for New York stock market by SCORE-CCD1
Censored broken adaptive ridge regression in high-dimension1
Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions1
Bootstrapping binary GEV regressions for imbalanced datasets1
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values1
Unsupervised learning on U.S. weather forecast performance1
Immigrant residency and happiness in New York City1
The concordance filter: an adaptive model-free feature screening procedure1
Sparse precision matrix estimation with missing observations1
Modified minimum distance estimators: definition, properties and applications1
Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach1
Bayesian analysis of restricted penalized empirical likelihood1
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors1
Let’s talk about the weather: a cluster-based approach to weather forecast accuracy1
Imbalanced data sampling design based on grid boundary domain for big data1
Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques1
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach1
Kernel regression for cause-specific hazard models with time-dependent coefficients1
Bi-level variable selection in semiparametric transformation models with right-censored data1
Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data1
Doubly time-dependent Hawkes process and applications in failure sequence analysis1
A spatial extension of weather forecasts1
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions1
Empirical likelihood ratio tests for homogeneity of component lifetime distributions based on system lifetime data1
Labeled optimal partitioning1
A new approach in model selection for ordinal target variables1
Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurations1
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths1
Nonparametric estimation of expected shortfall for α-mixing financial losses1
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute1
Geometric goodness of fit measure to detect patterns in data point clouds1
Machine learning embedded EM algorithms for semiparametric mixture regression models1
A new quantile regression model with application to human development index1
Ensemble updating of categorical state vectors1
Bivariate elliptical regression for modeling interval-valued data1
A note on imputing squares via polynomial combination approach1
A Bayesian approach to the analysis of asymmetric association for two-way contingency tables1
Fast Bayesian Inference for Birnbaum-Saunders Distribution1
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations1
Tips and tricks for Bayesian VAR models in gretl1
An improved exact sampling algorithm for the standard normal distribution1
Quantile regression with interval-censored data in questionnaire-based studies1
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain1
Automatic estimation of spatial spectra via smoothing splines1
An extended approach for the generalized powered uniform distribution1
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography1
An attribute-based Node2Vec model for dynamic community detection on co-authorship network1
hhsmm: an R package for hidden hybrid Markov/semi-Markov models1
New approximate Bayesian computation algorithm for censored data1
Non-parametric seasonal unit root tests under periodic non-stationary volatility1
Discriminating between log-normal and log-logistic distributions in the presence of type-II censoring1
Approximate Bayesian computation using asymptotically normal point estimates1
Model aggregation for doubly divided data with large size and large dimension1
Expectile regression averaging method for probabilistic forecasting of electricity prices1
Bayesian analysis of partially linear, single-index, spatial autoregressive models1
Spatial correlation in weather forecast accuracy: a functional time series approach1
RMSE-minimizing confidence intervals for the binomial parameter1
Variable selection for categorical response: a comparative study1
Analysis of drowsy driving: exploring subpopulation risk with weighted contingency table tools1
Computer algorithms of lower-order confounding in regular designs1
Automatic differentiation and maximal correlation of order statistics from discrete parents1
Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler1
A hierarchical Bayes approach to adjust for selection bias in before–after analyses of vision zero policies1
Asymmetric vector moving average models: estimation and testing1
A Hard EM algorithm for prediction of the cured fraction in survival data1
Pair programming with ChatGPT for sampling and estimation of copulas1
Penalized wavelet estimation and robust denoising for irregular spaced data1
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students1
The truncated g-and-h distribution: estimation and application to loss modeling1
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process1
Sampling large hyperplane-truncated multivariate normal distributions1
Linear models with time-varying parameters: a comparison of different approaches1
A multigrid preconditioner for tensor product spline smoothing1
Laplace regression with clustered censored data1
Novel matrix hit and run for sampling polytopes and its GPU implementation1
Bayesian estimation and classification for two logistic populations with a common location1
Fitting concentric elliptical shapes under general model1
Kolmogorov–Smirnov simultaneous confidence bands for time series distribution function1
Partitioned method of valid moment marginal model with Bayes interval estimates for correlated binary data with time-dependent covariates1
Kernel density estimation by stagewise algorithm with a simple dictionary1
Goodness-of-fit testing of survival models in the presence of Type–II right censoring1
Bayesian analysis of mixture autoregressive models covering the complete parameter space1
Statistical inference in massive datasets by empirical likelihood1
Housing variables and immigration: an exploratory analysis in New York City1
Projection predictive variable selection for discrete response families with finite support1
On testing the equality between interquartile ranges1
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy1
An exploration of National Weather Service daily forecasts using R Shiny1
Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique1
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem1
A survival regression with cure fraction applied to cervical cancer1
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure1
Multi-pass Bayesian estimation: a robust Bayesian method1
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