AStA Advances in Statistical Analysis

2005 - 2023

Current editor(s): Göran Kauermann and Yarema Okhrin

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German Statistical Society
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Volume 107, issue 1, 2023

Editorial special issue: Statistics in sports pp. 1-7

Andreas Groll and Dominik Liebl

A copula-based multivariate hidden Markov model for modelling momentum in football pp. 9-27

Marius Ötting, Roland Langrock and Antonello Maruotti

Action rate models for predicting actions in soccer pp. 29-49

Uwe Dick and Ulf Brefeld

Contextual movement models based on normalizing flows pp. 51-72

Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres and Ulf Brefeld

Decompositions by sources and by subpopulations of the Pietra index: two applications to professional football teams in Italy pp. 73-100

Francesco Porro and Mariangela Zenga

Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models pp. 101-126

Lore Zumeta-Olaskoaga, Maximilian Weigert, Jon Larruskain, Eder Bikandi, Igor Setuain, Josean Lekue, Helmut Küchenhoff and Dae-Jin Lee

Introducing LASSO-type penalisation to generalised joint regression modelling for count data pp. 127-151

Hendrik van der Wurp and Andreas Groll

The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models pp. 153-175

Riccardo Ievoli, Aldo Gardini and Lucio Palazzo

Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players pp. 177-204

Christoph Hanck and Martin C. Arnold

Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression pp. 205-232

Luke S. Benz and Michael J. Lopez

Estimation of final standings in football competitions with a premature ending: the case of COVID-19 pp. 233-250

P. Gorgi, S. J. Koopman and R. Lit

The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons pp. 251-269

Hans Eetvelde, Lars Magnus Hvattum and Christophe Ley

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 pp. 271-293

Manlio Migliorati, Marica Manisera and Paola Zuccolotto

Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation pp. 295-311

Claus Thorn Ekstrøm and Andreas Kryger Jensen

Continuous-time state-space modelling of the hot hand in basketball pp. 313-326

Sina Mews and Marius Ötting

Quarterback evaluation in the national football league using tracking data pp. 327-342

Matthew Reyers and Tim B. Swartz

Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes pp. 343-367

Rosa Fabbricatore, Maria Iannario, Rosaria Romano and Domenico Vistocco

Simultaneous inference for functional data in sports biomechanics pp. 369-392

Todd Colin Pataky, Konrad Abramowicz, Dominik Liebl, Alessia Pini, Sara Sjöstedt Luna and Lina Schelin

Volume 106, issue 4, 2022

Scoring predictions at extreme quantiles pp. 527-544

Axel Gandy, Kaushik Jana and Almut E. D. Veraart

A quantile regression perspective on external preference mapping pp. 545-571

Cristina Davino, Tormod Næs, Rosaria Romano and Domenico Vistocco

Some measures of kurtosis and their inference on large datasets pp. 573-607

Claudio Giovanni Borroni and Lucio De Capitani

On the Gaussian representation of the Riesz probability distribution on symmetric matrices pp. 609-632

Abdelhamid Hassairi, Fatma Ktari and Raoudha Zine

Local spatial log-Gaussian Cox processes for seismic data pp. 633-671

Nicoletta D’Angelo, Marianna Siino, Antonino D’Alessandro and Giada Adelfio

Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach pp. 673-703

Alessandro Magrini

Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses pp. 705-722

Xiaoshuang Zhou, Peixin Zhao and Yujie Gai

Volume 106, issue 3, 2022

On the role of data, statistics and decisions in a pandemic pp. 349-382

Beate Jahn, Sarah Friedrich, Joachim Behnke, Joachim Engel, Ursula Garczarek, Ralf Münnich, Markus Pauly, Adalbert Wilhelm, Olaf Wolkenhauer, Markus Zwick, Uwe Siebert and Tim Friede

Comment “On the role of data, statistics and decisions in a pandemic” by Jahn et al pp. 383-386

Michael Höhle

Discussion on On the role of data, statistics and decisions in a pandemic pp. 387-390

Ursula Berger, Göran Kauermann and Helmut Küchenhoff

Comment on: On the role of data, statistics and decisions in a pandemic statistics for climate protection and health—dare (more) progress! pp. 391-397

Walter J. Radermacher

Describing a landscape we are yet discovering pp. 399-402

Sebastian Contreras, Jonas Dehning and Viola Priesemann

Authors’ response: on the role of data, statistics and decisions in a pandemic pp. 403-405

Beate Jahn, Sarah Friedrich, Joachim Behnke, Joachim Engel, Ursula Garczarek, Ralf Münnich, Markus Pauly, Adalbert Wilhelm, Olaf Wolkenhauer, Markus Zwick, Uwe Siebert and Tim Friede

Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections pp. 407-426

Giacomo De Nicola, Marc Schneble, Göran Kauermann and Ursula Berger

Ranked sparsity: a cogent regularization framework for selecting and estimating feature interactions and polynomials pp. 427-454

Ryan A. Peterson and Joseph E. Cavanaugh

Improving the causal treatment effect estimation with propensity scores by the bootstrap pp. 455-471

Maeregu W. Arisido, Fulvia Mecatti and Paola Rebora

Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion pp. 473-497

Douglas Toledo, Cristiane Akemi Umetsu, Antonio Fernando Monteiro Camargo and Idemauro Antonio Rodrigues Lara

A spatial randomness test based on the box-counting dimension pp. 499-524

Yolanda Caballero, Ramón Giraldo and Jorge Mateu

Correction to: Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach pp. 525-526

Alessandro Magrini

Volume 106, issue 2, 2022

An integrated local depth measure pp. 175-197

Lucas Fernandez-Piana and Marcela Svarc

Density estimation via Bayesian inference engines pp. 199-216

M. P. Wand and J. C. F. Yu

A Bayesian nonparametric multi-sample test in any dimension pp. 217-242

Luai Al-Labadi, Forough Fazeli Asl and Zahra Saberi

A new class of integer-valued GARCH models for time series of bounded counts with extra-binomial variation pp. 243-270

Huaping Chen, Qi Li and Fukang Zhu

Diagnostic checking of multiple imputation models pp. 271-286

Yang Zhao

Small area estimation of socioeconomic indicators for sampled and unsampled domains pp. 287-314

Jan Pablo Burgard, Domingo Morales and Anna-Lena Wölwer

Model-based clustering via new parsimonious mixtures of heavy-tailed distributions pp. 315-347

Salvatore D. Tomarchio, Luca Bagnato and Antonio Punzo

Volume 106, issue 1, 2022

Local influence analysis for GMM estimation pp. 1-23

Jun Lu, Wen Gan and Lei Shi

Robust fitting of mixtures of GLMs by weighted likelihood pp. 25-48

Luca Greco

A harmonically weighted filter for cyclical long memory processes pp. 49-78

Federico Maddanu

Variable selection and collinearity processing for multivariate data via row-elastic-net regularization pp. 79-96

Bingzhen Chen, Wenjuan Zhai and Lingchen Kong

A smooth dynamic network model for patent collaboration data pp. 97-116

Verena Bauer, Dietmar Harhoff and Göran Kauermann

Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods pp. 117-143

Sebastian Weinand

Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model pp. 145-173

Antonio Calcagnì and Luigi Lombardi