Asta-Advances in Statistical Analysis

Papers
(The TQCC of Asta-Advances in Statistical Analysis is 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
A Bayesian nonparametric multi-sample test in any dimension39
Editorial special issue: Bridging the gap between AI and Statistics26
Zero-modified count time series modeling with an application to influenza cases18
On dealing with the unknown population minimum in parametric inference15
Deducing neighborhoods of classes from a fitted model12
Correction to: Local spatial log-Gaussian Cox processes for seismic data11
Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players10
Fuzzy group fixed-effects estimation with spatial clustering9
Conditional feature importance for mixed data8
Describing a landscape we are yet discovering8
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions7
A two-part beta regression with mismeasured dependent variable for modeling quasi-formal employment in Europe7
On the role of data, statistics and decisions in a pandemic7
Addressing non-normality in multivariate analysis using the t-distribution6
Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach6
Bernstein flows for flexible posteriors in variational Bayes6
A novel bootstrap goodness-of-fit test for normal linear regression models5
Correction to: Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach5
Functional data analysis for wearable sensor data: a systematic review5
Local spatial log-Gaussian Cox processes for seismic data5
Discussion on On the role of data, statistics and decisions in a pandemic5
Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions5
Comment on: On the role of data, statistics and decisions in a pandemic statistics for climate protection and health—dare (more) progress!5
A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread5
Anisotropic local covariance matrices for spatial blind source separation5
Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys5
On random coefficient INAR processes with long memory4
Density estimation via Bayesian inference engines4
A self-exciting spatio-temporal model with a smooth space-time-varying productivity parameter4
Small area estimation of socioeconomic indicators for sampled and unsampled domains3
Editorial special issue: Statistics in sports3
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables3
Multiple imputation of ordinal missing not at random data3
Variational inference: uncertainty quantification in additive models3
Authors’ response: on the role of data, statistics and decisions in a pandemic3
Correction: Bayesian ridge regression for survival data based on a vine copula-based prior3
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