OOIR: Observatory of International Research

Papers

(The median citation count of Asta-Advances in Statistical Analysis 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 2022-01-01 to 2026-01-01.)

Article	Citations
Zero-modified count time series modeling with an application to influenza cases	45
Editorial special issue: Bridging the gap between AI and Statistics	30
On dealing with the unknown population minimum in parametric inference	16
Deducing neighborhoods of classes from a fitted model	15
Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks	12
Bayesian analysis of censored measurement error models using finite mixture of heavy-tailed distributions	12
Correction to: Local spatial log-Gaussian Cox processes for seismic data	11
A two-part beta regression with mismeasured dependent variable for modeling quasi-formal employment in Europe	10
Fuzzy group fixed-effects estimation with spatial clustering	10
Describing a landscape we are yet discovering	10
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions	9
Conditional feature importance for mixed data	8
On the role of data, statistics and decisions in a pandemic	8
Bernstein flows for flexible posteriors in variational Bayes	7
Addressing non-normality in multivariate analysis using the t-distribution	6
Enhancing accuracy in surveys obtained by respondent-driven sampling with bias adjustment techniques	6
A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread	6
Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach	6
A novel bootstrap goodness-of-fit test for normal linear regression models	5
Machine learning approach for analyzing mixed case interval censored data with a cured subgroup	5
Local spatial log-Gaussian Cox processes for seismic data	5
On random coefficient INAR processes with long memory	4
Anisotropic local covariance matrices for spatial blind source separation	4
Correction to: Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach	4
Comment on: On the role of data, statistics and decisions in a pandemic statistics for climate protection and health—dare (more) progress!	4

Small area estimation of poverty indicators under bivariate Fay–Herriot model with correlated time effects	4
Discussion on On the role of data, statistics and decisions in a pandemic	4
A self-exciting spatio-temporal model with a smooth space-time-varying productivity parameter	3
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables	3
Correction: Bayesian ridge regression for survival data based on a vine copula-based prior	3
Variational inference: uncertainty quantification in additive models	3
Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys	3
Editorial special issue: Statistics in sports	3
Multiple imputation of ordinal missing not at random data	3
Functional data analysis for wearable sensor data: a systematic review	3
Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions	3
Authors’ response: on the role of data, statistics and decisions in a pandemic	3
Margin-closed regime-switching multivariate time series models	3
A note on sufficient dimension reduction with post dimension reduction statistical inference	2
Confidence intervals for the overlap coefficient under multimodal distributions: with an application to breast cancer diagnosis	2
Markov-switching decision trees	2
Mixtures of generalized normal distributions and EGARCH models to analyse returns and volatility of ESG and traditional investments	2
Integrated modified harmonic mean method for spatial panel data models	2
Diagnostic checking of multiple imputation models	2
Beyond catastrophic payments: modeling household health expenditure shares with endogenous selection	2
GPS data on tourists: a spatial analysis on road networks	2
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods	2
Sequential estimation of multivariate factor stochastic volatility models	2
Ridge regularization for spatial autoregressive models with multicollinearity issues	2
Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation	2
A dynamic causal modeling of the second outbreak of COVID-19 in Italy	2
Distributional properties of continuous time processes: from CIR to bates	2
Hidden-Markov models for ordinal time series	2
Bias-corrected estimation for $$\mathcal{G}^0_I$$ regression with applications	2
Nowcasting GDP using machine learning methods	2
Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm	2
Testing distributional assumptions in CUB models for the analysis of rating data	2
Publisher Correction: Deducing neighborhoods of classes from a fitted model	2
Weighted likelihood methods for robust fitting of wrapped models for p-torus data	2
Goodness-of-fit testing in bivariate count time series based on a bivariate dispersion index	2
Robust Bayesian small area estimation using the sub-Gaussian $$\alpha$$-stable distribution for measurement error in covariates	2
A note on dynamic spatiotemporal ARCH models: small- and large-sample results	2
Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level	1
Calibrated imputation for multivariate categorical data	1
Testing for the presence of treatment effect under selection on observables	1
Advances in spatial econometrics and geostatistics: methods, theory, and applications	1
Change point detection in high dimensional covariance matrix using Pillai’s statistics	1
A spatial semiparametric M-quantile regression for hedonic price modelling	1
Editorial	1
A quantile regression perspective on external preference mapping	1
Ranked sparsity: a cogent regularization framework for selecting and estimating feature interactions and polynomials	1
Hedonic pricing modelling with unstructured predictors: an application to Italian Fashion Industry	1
Tests of stochastic dominance with repeated measurements data	1
Spillovers effects and temporal dynamics on the impact of renewables on labour force: a world perspective	1
Statistical guarantees for sparse deep learning	1

Correlation-type goodness-of-fit tests based on independence characterizations	1
Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game	1
Scoring predictions at extreme quantiles	1
Editorial	1
Lasso-based variable selection methods in text regression: the case of short texts	1
Bayesian generalized additive model selection including a fast variational option	1
High-dimensional confounding adjustment in causal inference	1
Testing modified zeros for marginal Poisson regression models	1
Classes of probability measures built on the properties of Benford’s law	1