Asta-Advances in Statistical Analysis

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 2022-06-01 to 2026-06-01.)
ArticleCitations
Zero-modified count time series modeling with an application to influenza cases22
Editorial special issue: Bridging the gap between AI and Statistics21
Simultaneous nonparametric confidence bands for load-sharing systems11
Deducing neighborhoods of classes from a fitted model10
A dyadic multivariate mixture model for ordinal responses: application to coach–athlete interactions10
Fuzzy group fixed-effects estimation with spatial clustering9
Correction to: Local spatial log-Gaussian Cox processes for seismic data7
Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks6
Bayesian analysis of censored measurement error models using finite mixture of heavy-tailed distributions6
Describing a landscape we are yet discovering5
Bernstein flows for flexible posteriors in variational Bayes5
A two-part beta regression with mismeasured dependent variable for modeling quasi-formal employment in Europe5
A two-stage approach for modeling non-sparse main effects with sparse interaction terms5
Conditional feature importance for mixed data5
Discussion on On the role of data, statistics and decisions in a pandemic4
A novel bootstrap goodness-of-fit test for normal linear regression models4
Small area estimation of poverty indicators under bivariate Fay–Herriot model with correlated time effects4
Machine learning approach for analyzing mixed case interval censored data with a cured subgroup4
A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread4
Anisotropic local covariance matrices for spatial blind source separation4
Enhancing accuracy in surveys obtained by respondent-driven sampling with bias adjustment techniques4
Addressing non-normality in multivariate analysis using the t-distribution4
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables3
Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys3
Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions3
Correction: Bayesian ridge regression for survival data based on a vine copula-based prior3
Editorial special issue: Statistics in sports3
A self-exciting spatio-temporal model with a smooth space-time-varying productivity parameter3
Functional data analysis for wearable sensor data: a systematic review3
Margin-closed regime-switching multivariate time series models3
Publisher Correction: Deducing neighborhoods of classes from a fitted model3
On random coefficient INAR processes with long memory3
Variational inference: uncertainty quantification in additive models3
Authors’ response: on the role of data, statistics and decisions in a pandemic3
Testing distributional assumptions in CUB models for the analysis of rating data2
A dynamic causal modeling of the second outbreak of COVID-19 in Italy2
Integrated modified harmonic mean method for spatial panel data models2
Weighted likelihood methods for robust fitting of wrapped models for p-torus data2
Ridge regularization for spatial autoregressive models with multicollinearity issues2
Multiple imputation of ordinal missing not at random data2
Markov-switching decision trees2
Sequential estimation of multivariate factor stochastic volatility models2
Distributional properties of continuous time processes: from CIR to bates2
Mixtures of generalized normal distributions and EGARCH models to analyse returns and volatility of ESG and traditional investments2
Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation2
An iterative plug-in algorithm for realized kernels2
Bootstrapping GARCH models under dependent innovations2
Confidence intervals for the overlap coefficient under multimodal distributions: with an application to breast cancer diagnosis2
Zero-adjusted beta prime regression model1
Bayesian generalized additive model selection including a fast variational option1
Hedonic pricing modelling with unstructured predictors: an application to Italian Fashion Industry1
Dynamic analysis of equitable and sustainable well-being: clustering longitudinal Italian NUTS3 data using a multivariate parsimonious hidden Markov model1
Goodness-of-fit testing in bivariate count time series based on a bivariate dispersion index1
Hidden-Markov models for ordinal time series1
Change point detection in high dimensional covariance matrix using Pillai’s statistics1
GPS data on tourists: a spatial analysis on road networks1
Calibrated imputation for multivariate categorical data1
Classes of probability measures built on the properties of Benford’s law1
A spatial semiparametric M-quantile regression for hedonic price modelling1
Correlation-type goodness-of-fit tests based on independence characterizations1
Testing modified zeros for marginal Poisson regression models1
Bias-corrected estimation for $$\mathcal{G}^0_I$$ regression with applications1
Nowcasting GDP using machine learning methods1
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods1
Robust Bayesian small area estimation using the sub-Gaussian $$\alpha$$-stable distribution for measurement error in covariates1
High-dimensional confounding adjustment in causal inference1
Lasso-based variable selection methods in text regression: the case of short texts1
Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level1
Advances in spatial econometrics and geostatistics: methods, theory, and applications1
Spillovers effects and temporal dynamics on the impact of renewables on labour force: a world perspective1
Beyond catastrophic payments: modeling household health expenditure shares with endogenous selection1
Editorial1
A note on sufficient dimension reduction with post dimension reduction statistical inference1
A note on dynamic spatiotemporal ARCH models: small- and large-sample results1
Statistical guarantees for sparse deep learning1
Testing for the presence of treatment effect under selection on observables1
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 game1
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