OOIR: Observatory of International Research

Papers

(The TQCC of Computational Statistics is 2. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index	61
A linear spline Cox cure model with its applications	34
Learning from high dimensional data based on weighted feature importance in decision tree ensembles	33
A model-based approach to shot charts estimation in basketball	20
Analysing kinematic data from recreational runners using functional data analysis	20
Nonparametric CUSUM change-point detection procedures based on modified empirical likelihood	17
Bayesian analysis of partially linear, single-index, spatial autoregressive models	17
A tree-based varying coefficient model	17
Estimation and prediction with data quality indexes in linear regressions	16
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models	15
A software reliability model incorporating fault removal efficiency and it’s release policy	13
Fitting sparse Markov models through a collapsed Gibbs sampler	11
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths	11
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	11
Interactive graphics for visually diagnosing forest classifiers in R	10
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models	10
Parameter-wise co-clustering for high-dimensional data	10
Spatio-temporal clustering analysis using generalized lasso with an application to reveal the spread of Covid-19 cases in Japan	9
Policy evaluation using model over-fitting: the Nordic case	9
Reducing the overfitting in the gROC curve estimation	9
Confidence sub-contour box: an alternative to traditional confidence intervals	8
Multi-pass Bayesian estimation: a robust Bayesian method	8
A spatial extension of weather forecasts	8
An algorithm for generating efficient block designs via a novel particle swarm approach	8
Analysis of estimating the Bayes rule for Gaussian mixture models with a specified missing-data mechanism	7

GOLFS: feature selection via combining both global and local information for high dimensional clustering	7
A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior	7
Profile transformations for reciprocal averaging and singular value decomposition	6
Exploring local explanations of nonlinear models using animated linear projections	6
A sparse estimate based on variational approximations for semiparametric generalized additive models	6
Variational Bayesian Lasso for spline regression	6
Robust confidence intervals for meta-regression with interaction effects	5
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	5
A copula-based Bayesian framework for doping detection	5
Automatic differentiation and maximal correlation of order statistics from discrete parents	5
A novel nonconvex, smooth-at-origin penalty for statistical learning	5
BARMPy: Bayesian additive regression models Python package	5
A bootstrap-based bandwidth selection rule for kernel quantile estimators	5
Reduced multidimensional scaling	5
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	5
Ensemble Kalman filter with precision localization	5
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	5
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	5
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	4
Correction: Housing variables and immigration: an exploratory analysis in New York City	4
Penalized wavelet estimation and robust denoising for irregular spaced data	4
A note on imputing squares via polynomial combination approach	4
Interaction screening via canonical correlation	4
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies	4
Labeled optimal partitioning	4
On four-way CP model estimation efficiency	4
Housing variables and immigration: an exploratory analysis in New York City	4
A new non-archimedean metric on persistent homology	4
A variational inference for the Lévy adaptive regression with multiple kernels	4
Ensemble updating of categorical state vectors	4
Polynomial whitening for high-dimensional data	4
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	4
Correction to: Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference‑based assumptions	4
Geometric goodness of fit measure to detect patterns in data point clouds	4
A fast regression via SVD and marginalization	4
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling	4
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	4
Adaptive smoothing spline estimator for the function-on-function linear regression model	4
Variable selection for categorical response: a comparative study	4
New approximate Bayesian computation algorithm for censored data	3
Kernel density estimation by stagewise algorithm with a simple dictionary	3
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	3
Topic based quality indexes assessment through sentiment	3
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	3
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data	3
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models	3
Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring	3

Glomerulosclerosis detection with pre-trained CNNs ensemble	3
Hidden Markov model with missing emissions	3
Multiway clustering with time-varying parameters	3
Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ acceleration and restarting for nonlinear principal component analysis	3
A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data	3
On the time of corner kicks in soccer: an analysis of event history data	3
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables	3
Clustering of longitudinal curves via a penalized method and EM algorithm	3
Adjusting the adjusted Rand Index	3
Distributed quantile regression for longitudinal big data	3
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model	3
Unsupervised learning on U.S. weather forecast performance	3
Time series forecasting via integrating a filtering method: an application to electricity consumption	3
The 2017 Data Challenge of the American Statistical Association	3
Pair programming with ChatGPT for sampling and estimation of copulas	3
Graphical tests of independence for general distributions	3
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	3
Degree selection methods for curve estimation via Bernstein polynomials	2
Methods for checking the Markov condition in multi-state survival data	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior	2
Fast Bayesian Inference for Birnbaum-Saunders Distribution	2
Direct statistical inference for finite Markov jump processes via the matrix exponential	2
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process	2
Rank estimation for the function-on-scalar model	2
A robust knockoff filter for sparse regression analysis of microbiome compositional data	2
Novel matrix hit and run for sampling polytopes and its GPU implementation	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Overlapping coefficient in network-based semi-supervised clustering	2
Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout	2
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	2
Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables	2
On the CTA-PLS test for hierarchical models: an application to the football player’s performance	2
Bivariate elliptical regression for modeling interval-valued data	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	2
Modal regression models based on B-splines	2
Simultaneous confidence bands for multiple comparisons of several percentile lines	2
Kernel regression for cause-specific hazard models with time-dependent coefficients	2
Imbalanced data sampling design based on grid boundary domain for big data	2
A simulated annealing-based algorithm for selecting balanced samples	2
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data	2
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood	2
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	2
Goodness-of-fit procedure for gamma processes	2
Large-scale dependent multiple testing via hidden semi-Markov models	2
Bootstrapping binary GEV regressions for imbalanced datasets	2
Target-aware Bayesian inference via generalized thermodynamic integration	2
Sparse precision matrix estimation with missing observations	2
Model selection using PRESS statistic	2
Smallest covering regions and highest density regions for discrete distributions	2
Bayesian tests of symmetry for the generalized Von Mises distribution	2
A subspace aggregating algorithm for accurate classification	2
Dynamic sampling from a discrete probability distribution with a known distribution of rates	2
INet for network integration	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
Network and attribute-based clustering of tennis players and tournaments	2
Bayesian regression models in gretl: the BayTool package	2
A hierarchical clustering method for random intervals based on a similarity measure	2
Linear models with time-varying parameters: a comparison of different approaches	2
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	2
Analysis of progressive type-II censored gamma distribution	2
Using nomination sampling in estimating the area under the ROC curve	2
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models	2
A new quantile regression model with application to human development index	2
Generalised Bayesian sample copula of order m	2
Censored broken adaptive ridge regression in high-dimension	2
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	2
A two-stage Bridge estimator for regression models with endogeneity based on control function method	2
A class of transformed joint quantile time series models with applications to health studies	2
Covariance matrix testing in high dimension using random projections	2
Penalized function-on-function linear quantile regression	2
Bayesian inference for fractional Oscillating Brownian motion	2
Tips and tricks for Bayesian VAR models in gretl	2