AStA Advances in Statistical Analysis
2005 - 2025
 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 109, issue 3, 2025
 
  - Editorial   pp. 413-415 
  
  - Harry Haupt and Yarema Okhrin
 
  - Forecasting time series by long-memory models for count data with an application to price jumps   pp. 417-441 
  
  - Luisa Bisaglia, Massimiliano Caporin and Matteo Grigoletto
 
  - A novel bootstrap goodness-of-fit test for normal linear regression models   pp. 443-461 
  
  - Scott H. Koeneman and Joseph E. Cavanaugh
 
  - High-dimensional confounding adjustment in causal inference   pp. 463-481 
  
  - Sanghun Cha, Joon Jin Song and Kyeong Eun Lee
 
  - Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks   pp. 483-508 
  
  - Paola Vicard, Paola Maria Vittoria Rancoita, Federica Cugnata, Alberto Briganti, Fulvia Mecatti, Clelia Serio and Pier Luigi Conti
 
  - Using penalized-distance likelihood functions to analyze high-dimensional sparse/non-sparse data   pp. 509-528 
  
  - S. K. Ghoreishi, Jingjing Wu, Qingrun Zhang and Ghazal S. Ghoreishi
 
  - Basketball players performance measurement with algorithmic survival data analysis   pp. 529-555 
  
  - Ambra Macis
 
  - Bias-corrected estimation for $$\mathcal{G}^0_I$$ G I 0 regression with applications   pp. 557-589 
  
  - M. F. S. S. Sousa, J. M. Vasconcelos and A. D. C. Nascimento
 
  - Functional data analysis for wearable sensor data: a systematic review   pp. 591-631 
  
  - Nihan Acar-Denizli and Pedro Delicado
 
 Volume 109, issue 2, 2025
 
  - Hidden-Markov models for ordinal time series   pp. 217-239 
  
  - Christian H. Weiß and Osama Swidan
 
  - Goodness-of-fit testing in bivariate count time series based on a bivariate dispersion index   pp. 241-279 
  
  - Huiqiao Wang, Christian H. Weiß and Mingming Zhang
 
  - On random coefficient INAR processes with long memory   pp. 281-311 
  
  - Jan Beran and Frieder Droullier
 
  - Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy   pp. 313-336 
  
  - Susanna Levantesi, Andrea Nigri, Paolo Pagnottoni and Alessandro Spelta
 
  - Robust corrected empirical likelihood for partially linear measurement error models   pp. 337-361 
  
  - Huihui Sun, Qiang Liu and Yuying Jiang
 
  - Beyond catastrophic payments: modeling household health expenditure shares with endogenous selection   pp. 363-386 
  
  - Antonello Maruotti, Pierfrancesco Alaimo Di Loro and Cathleen Johnson
 
  - On the equivalence of two mixture models for rating data   pp. 387-411 
  
  - Matteo Ventura, Ambra Macis, Marica Manisera and Paola Zuccolotto
 
 Volume 109, issue 1, 2025
 
  - Nowcasting GDP using machine learning methods   pp. 1-24 
  
  - Dennis Kant, Andreas Pick and Jasper de Winter
 
  - Ridge regularization for spatial autoregressive models with multicollinearity issues   pp. 25-52 
  
  - Cristina O. Chavez-Chong, Cécile Hardouin and Ana-Karina Fermin
 
  - Change point detection in high dimensional covariance matrix using Pillai’s statistics   pp. 53-84 
  
  - Seonghun Cho, Minsup Shin, Young Hyun Cho and Johan Lim
 
  - Bayesian joint relatively quantile regression of latent ordinal multivariate linear models with application to multirater agreement analysis   pp. 85-116 
  
  - YuZhu Tian, ChunHo Wu, ManLai Tang and MaoZai Tian
 
  - Markov switching stereotype logit models for longitudinal ordinal data affected by unobserved heterogeneity in responding behavior   pp. 117-147 
  
  - Roberto Colombi and Sabrina Giordano
 
  - A Finite-sample bias correction method for general linear model in the presence of differential measurement errors   pp. 149-195 
  
  - Ali Al-Sharadqah, Karine Bagdasaryan and Ola Nusierat
 
  - Classes of probability measures built on the properties of Benford’s law   pp. 197-216 
  
  - Roy Cerqueti and Mario Maggi
 
 Volume 108, issue 4, 2024
 
  - Testing for periodicity at an unknown frequency under cyclic long memory, with applications to respiratory muscle training   pp. 705-731 
  
  - Jan Beran, Jeremy Näscher, Fabian Pietsch and Stephan Walterspacher
 
  - A note on sufficient dimension reduction with post dimension reduction statistical inference   pp. 733-753 
  
  - Kyongwon Kim
 
  - Mixtures of generalized normal distributions and EGARCH models to analyse returns and volatility of ESG and traditional investments   pp. 755-775 
  
  - Pierdomenico Duttilo, Stefano Antonio Gattone and Barbara Iannone
 
  - Robust Bayesian small area estimation using the sub-Gaussian $$\alpha$$ α -stable distribution for measurement error in covariates   pp. 777-799 
  
  - Serena Arima and Shaho Zarei
 
  - Measures of interrater agreement for quantitative data   pp. 801-821 
  
  - Daniela Marella and Giuseppe Bove
 
  - A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread   pp. 823-851 
  
  - Anagh Chattopadhyay and Soudeep Deb
 
  - Weighted likelihood methods for robust fitting of wrapped models for p-torus data   pp. 853-888 
  
  - Claudio Agostinelli, Luca Greco and Giovanni Saraceno
 
  - Artwork pricing model integrating the popularity and ability of artists   pp. 889-913 
  
  - Jinsu Park, Yoonjin Lee, Daewon Yang, Jongho Park and Hohyun Jung
 
  - Publisher Correction: Deducing neighborhoods of classes from a fitted model   pp. 915-915 
  
  - Alexander Gerharz, Andreas Groll and Gunther Schauberger
 
 Volume 108, issue 3, 2024
 
  - GPS data on tourists: a spatial analysis on road networks   pp. 477-499 
  
  - Nicoletta D’Angelo, Antonino Abbruzzo, Mauro Ferrante, Giada Adelfio and Marcello Chiodi
 
  - Conditional sum of squares estimation of k-factor GARMA models   pp. 501-543 
  
  - Paul Beaumont and Aaron D. Smallwood
 
  - Calibrated imputation for multivariate categorical data   pp. 545-576 
  
  - Ton Waal and Jacco Daalmans
 
  - Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions   pp. 577-609 
  
  - Christian Aßmann, Jens Boysen-Hogrefe and Markus Pape
 
  - Zero-modified count time series modeling with an application to influenza cases   pp. 611-637 
  
  - Marinho G. Andrade, Katiane S. Conceição and Nalini Ravishanker
 
  - Bayesian generalized additive model selection including a fast variational option   pp. 639-668 
  
  - Virginia X. He and Matt P. Wand
 
  - Testing distributional assumptions in CUB models for the analysis of rating data   pp. 669-701 
  
  - Francesca Iorio, Riccardo (Jack) Lucchetti and Rosaria Simone
 
  - Correction: Bayesian ridge regression for survival data based on a vine copula-based prior   pp. 703-703 
  
  - Hirofumi Michimae and Takeshi Emura
 
 Volume 108, issue 2, 2024
 
  - Editorial special issue: Bridging the gap between AI and Statistics   pp. 225-229 
  
  - Benjamin Säfken and David Rügamer
 
  - Statistical guarantees for sparse deep learning   pp. 231-258 
  
  - Johannes Lederer
 
  - Conditional feature importance for mixed data   pp. 259-278 
  
  - Kristin Blesch, David S. Watson and Marvin N. Wright
 
  - Variational inference: uncertainty quantification in additive models   pp. 279-331 
  
  - Jens Lichter, Paul F V Wiemann and Thomas Kneib
 
  - A Bayesian approach to modeling topic-metadata relationships   pp. 333-349 
  
  - Patrick Schulze, Simon Wiegrebe, Paul W. Thurner, Christian Heumann and Matthias Aßenmacher
 
  - Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods   pp. 351-373 
  
  - David Rügamer, Florian Pfisterer, Bernd Bischl and Bettina Grün
 
  - Bernstein flows for flexible posteriors in variational Bayes   pp. 375-394 
  
  - Oliver Dürr, Stefan Hörtling, Danil Dold, Ivonne Kovylov and Beate Sick
 
  - Deducing neighborhoods of classes from a fitted model   pp. 395-425 
  
  - Alexander Gerharz, Andreas Groll and Gunther Schauberger
 
  - Debiasing SHAP scores in random forests   pp. 427-440 
  
  - Markus Loecher
 
  - Using sequential statistical tests for efficient hyperparameter tuning   pp. 441-460 
  
  - Philip Buczak, Andreas Groll, Markus Pauly, Jakob Rehof and Daniel Horn
 
  - Markov-switching decision trees   pp. 461-476 
  
  - Timo Adam, Marius Ötting and Rouven Michels
 
 Volume 108, issue 1, 2024
 
  - A dynamic causal modeling of the second outbreak of COVID-19 in Italy   pp. 1-30 
  
  - Massimo Bilancia, Domenico Vitale, Fabio Manca, Paola Perchinunno and Luigi Santacroce
 
  - Left-truncated health insurance claims data: theoretical review and empirical application   pp. 31-68 
  
  - Rafael Weißbach, Achim Dörre, Dominik Wied, Gabriele Doblhammer and Anne Fink
 
  - Lasso-based variable selection methods in text regression: the case of short texts   pp. 69-99 
  
  - Marzia Freo and Alessandra Luati
 
  - Clustering of extreme values: estimation and application   pp. 101-125 
  
  - Marta Ferreira
 
  - Robust estimation of fixed effect parameters and variances of linear mixed models: the minimum density power divergence approach   pp. 127-157 
  
  - Giovanni Saraceno, Abhik Ghosh, Ayanendranath Basu and Claudio Agostinelli
 
  - A spatial semiparametric M-quantile regression for hedonic price modelling   pp. 159-183 
  
  - Francesco Schirripa Spagnolo, Riccardo Borgoni, Antonella Carcagnì, Alessandra Michelangeli and Nicola Salvati
 
  - Correlation-type goodness-of-fit tests based on independence characterizations   pp. 185-207 
  
  - Katarina Halaj, Bojana Milošević, Marko Obradović and M. Dolores Jiménez-Gamero
 
  - A family of consistent normally distributed tests for Poissonity   pp. 209-223 
  
  - Antonio Di Noia, Marzia Marcheselli, Caterina Pisani and Luca Pratelli
 
 
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