AStA Advances in Statistical Analysis

2005 - 2025

Current editor(s): Göran Kauermann and Yarema Okhrin

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Springer
German Statistical Society
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Volume 106, issue 4, 2022

Scoring predictions at extreme quantiles pp. 527-544

Axel Gandy, Kaushik Jana and Almut 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

Volume 105, issue 4, 2021

Random coefficients integer-valued threshold autoregressive processes driven by logistic regression pp. 533-557

Kai Yang, Han Li, Dehui Wang and Chenhui Zhang

A new mixed first-order integer-valued autoregressive process with Poisson innovations pp. 559-580

Daniel L. R. Orozco, Lucas O. F. Sales, Luz M. Z. Fernández and André L. S. Pinho

Optimal classification scores based on multivariate marker transformations pp. 581-599

Pablo Martínez-Camblor, Sonia Pérez-Fernández and Susana Díaz-Coto

Positive-definite modification of a covariance matrix by minimizing the matrix $$\ell_{\infty}$$ ℓ ∞ norm with applications to portfolio optimization pp. 601-627

Seonghun Cho, Shota Katayama, Johan Lim and Young-Geun Choi

Is EM really necessary here? Examples where it seems simpler not to use EM pp. 629-647

Iain L. MacDonald

Simultaneous monitoring of origin and scale in left-bounded processes via depth pp. 649-673

Ignacio Cascos

RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks pp. 675-693

Ondrej Vencalek and Olusola Samuel Makinde

Volume 105, issue 3, 2021

The exact equivalence of distance and kernel methods in hypothesis testing pp. 385-403

Cencheng Shen and Joshua T. Vogelstein

Confidence regions and other tools for an extension of correspondence analysis based on cumulative frequencies pp. 405-429

Antonello D’Ambra, Pietro Amenta and Eric J. Beh

OLS Estimation of Markov switching VAR models: asymptotics and application to energy use pp. 431-449

Maddalena Cavicchioli

Heteroscedastic nonlinear regression models using asymmetric and heavy tailed two-piece distributions pp. 451-467

Akram Hoseinzadeh, Mohsen Maleki and Zahra Khodadadi

Cyber risk ordering with rank-based statistical models pp. 469-484

Paolo Giudici and Emanuela Raffinetti

Optimal designs for homoscedastic functional polynomial measurement error models pp. 485-501

Min-Jue Zhang and Rong-Xian Yue

Bayesian random projection-based signal detection for Gaussian scale space random fields pp. 503-532

Yasser Al Zaim and Mohammad Reza Faridrohani

Volume 105, issue 2, 2021

Marginalized random-effects models for clustered binomial data through innovative link functions pp. 197-228

Iraj Kazemi and Fatemeh Hassanzadeh

Emergence of the wrapped Cauchy distribution in mixed directional data pp. 229-246

Joseph D. Bailey and Edward A. Codling

A variable selection procedure for depth measures pp. 247-271

Agustín Alvarez and Marcela Svarc

Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality pp. 273-305

H. V. Kulkarni and S. M. Patil

Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas pp. 307-334

Alessandro Barbiero

Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach pp. 335-352

Wai Hong Tan and Feng Chen

Structural equation modeling with time dependence: an application comparing Brazilian energy distributors pp. 353-383

Vinícius Diniz Mayrink, Renato Valladares Panaro and Marcelo Azevedo Costa

Volume 105, issue 1, 2021

On Poisson-exponential-Tweedie models for ultra-overdispersed count data pp. 1-23

Rahma Abid, Célestin C. Kokonendji and Afif Masmoudi

Empirical likelihood inference for rank regression with doubly truncated data pp. 25-73

Xiaohui Yuan, Huixian Li and Tianqing Liu

Count outcome meta-analysis for comparing treatments by fusing mixed data sources: comparing interventions using across report information pp. 75-85

Dankmar Böhning and Patarawan Sangnawakij

Unified approach for regression models with nonmonotone missing at random data pp. 87-101

Yang Zhao and Meng Liu

Additive models for extremal quantile regression with Pareto-type distributions pp. 103-134

Takuma Yoshida

Visualizing the decision rules behind the ROC curves: understanding the classification process pp. 135-161

Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser and Norberto Corral

Goodness of fit test for general linear model with nonignorable missing on response variable pp. 163-196

Fayyaz Bahari, Safar Parsi and Mojtaba Ganjali