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 2020-11-01 to 2024-11-01.)
ArticleCitations
Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression29
Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach20
On the role of data, statistics and decisions in a pandemic17
A new class of integer-valued GARCH models for time series of bounded counts with extra-binomial variation15
Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections15
Visualizing the decision rules behind the ROC curves: understanding the classification process12
A copula-based multivariate hidden Markov model for modelling momentum in football12
Quarterback evaluation in the national football league using tracking data9
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions8
A smooth dynamic network model for patent collaboration data8
Local spatial log-Gaussian Cox processes for seismic data8
Small area estimation of socioeconomic indicators for sampled and unsampled domains6
Cyber risk ordering with rank-based statistical models6
Scoring predictions at extreme quantiles6
Heteroscedastic nonlinear regression models using asymmetric and heavy tailed two-piece distributions6
Continuous-time state-space modelling of the hot hand in basketball6
Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes5
Ranked sparsity: a cogent regularization framework for selecting and estimating feature interactions and polynomials5
Hierarchical clustering and matrix completion for the reconstruction of world input–output tables5
The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons5
Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion4
Lasso-based variable selection methods in text regression: the case of short texts4
A harmonically weighted filter for cyclical long memory processes4
Comment on: On the role of data, statistics and decisions in a pandemic statistics for climate protection and health—dare (more) progress!4
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models4
Diagnostic checking of multiple imputation models4
Optimal classification scores based on multivariate marker transformations4
Multiple imputation of ordinal missing not at random data4
Introducing LASSO-type penalisation to generalised joint regression modelling for count data4
Discussion on On the role of data, statistics and decisions in a pandemic4
Estimation of final standings in football competitions with a premature ending: the case of COVID-193
Unified approach for regression models with nonmonotone missing at random data3
Density estimation via Bayesian inference engines3
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 game3
Comment “On the role of data, statistics and decisions in a pandemic” by Jahn et al.3
Is EM really necessary here? Examples where it seems simpler not to use EM3
Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach3
Debiasing SHAP scores in random forests3
A spatial randomness test based on the box-counting dimension3
Bayesian ridge regression for survival data based on a vine copula-based prior3
Conditional feature importance for mixed data3
Some measures of kurtosis and their inference on large datasets3
Decompositions by sources and by subpopulations of the Pietra index: two applications to professional football teams in Italy3
Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players2
A new price index for multi-period and multilateral comparisons2
Simultaneous inference for functional data in sports biomechanics2
Action rate models for predicting actions in soccer2
Describing a landscape we are yet discovering2
Left-truncated health insurance claims data: theoretical review and empirical application2
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods2
Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods2
Addressing non-normality in multivariate analysis using the t-distribution2
Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model2
Correction to: Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach2
Local influence analysis for GMM estimation2
Contextual movement models based on normalizing flows2
Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas2
Sieve bootstrapping the memory parameter in long-range dependent stationary functional time series1
Bernstein flows for flexible posteriors in variational Bayes1
Clustering of extreme values: estimation and application1
Editorial special issue: Statistics in sports1
Correction to: Local spatial log-Gaussian Cox processes for seismic data1
Hierarchical disjoint principal component analysis1
Positive-definite modification of a covariance matrix by minimizing the matrix $$\ell_{\infty}$$ norm with applications to portfolio optimization1
On the Gaussian representation of the Riesz probability distribution on symmetric matrices1
Using sequential statistical tests for efficient hyperparameter tuning1
Control charts for measurement error models1
Variable selection and collinearity processing for multivariate data via row-elastic-net regularization1
Statistical guarantees for sparse deep learning1
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models1
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables1
A note on sufficient dimension reduction with post dimension reduction statistical inference1
Deducing neighborhoods of classes from a fitted model1
Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality1
Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm1
A spatial semiparametric M-quantile regression for hedonic price modelling1
Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation1
A Bayesian approach to modeling topic-metadata relationships1
Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses1
Authors’ response: on the role of data, statistics and decisions in a pandemic1
GPS data on tourists: a spatial analysis on road networks1
Variational inference: uncertainty quantification in additive models1
Optimal designs for homoscedastic functional polynomial measurement error models1
On dealing with the unknown population minimum in parametric inference1
Simultaneous monitoring of origin and scale in left-bounded processes via depth1
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