AStA Advances in Statistical Analysis
2005 - 2023
Current editor(s): Göran Kauermann and Yarema Okhrin From: Springer German Statistical Society Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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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
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