Statistical Methods & Applications
1994 - 2024
Current editor(s): Tommaso Proietti From: Springer Società Italiana di Statistica Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 33, issue 5, 2024
- Robust adaptive LASSO in high-dimensional logistic regression pp. 1217-1249

- Ayanendranath Basu, Abhik Ghosh, Maria Jaenada and Leandro Pardo
- Group penalized expectile regression pp. 1251-1313

- Mohamed Ouhourane, Karim Oualkacha and Archer Yi Yang
- A Kernel approach for extending nonparametric multivariate analysis of variance in high-dimensional settings pp. 1315-1335

- Vicente Gallego and Ramon Oller
- Weighted composite quantile inference for nearly nonstationary autoregressive models pp. 1337-1379

- Bingqi Liu and Tianxiao Pang
- Simple tests on multiple correlation coefficient in high-dimensional normal data pp. 1381-1401

- Somayeh Abusaleh and Dariush Najarzadeh
- Comparing fundraising campaigns in healthcare using psychophysiological data: a network-based approach pp. 1403-1427

- Spyros Balafas, Clelia Serio, Riccardo Lolatto, Marco Mandolfo, Anna Maria Bianchi, Ernst Wit and Chiara Brombin
- Jointly exploring mathematics ability and speed in large-scale computer-based testing pp. 1429-1450

- Luca Bungaro, Marta Desimoni, Mariagiulia Matteucci and Stefania Mignani
- Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models pp. 1451-1482

- Marta Spreafico, Francesca Ieva and Marta Fiocco
- A finite mixture approach for the analysis of digital skills in Bulgaria, Finland and Italy: the role of socio-economic factors pp. 1483-1511

- Dalila Failli, Bruno Arpino and Maria Francesca Marino
Volume 33, issue 4, 2024
- Special issue SMA: big data and alternative data sources for small area estimation pp. 1025-1026

- Monica Pratesi, Roberta Siciliano and Partha Lahiri
- Sae estimation of related labor market indicators for different overlapping areas pp. 1027-1049

- Michele D’Alò, Danila Filipponi and Silvia Loriga
- Statistical indicators based on mobile phone and street maps data for risk management in small urban areas pp. 1051-1078

- Selene Perazzini, Rodolfo Metulini and Maurizio Carpita
- Prediction in non-sampled areas under spatial small area models pp. 1079-1116

- Anna Sikov and José Cerda-Hernandez
- The impact of local cost-of-living differences on relative poverty incidence: an application using retail scanner data and small area estimation models pp. 1117-1143

- Stefano Marchetti, Caterina Giusti, Francesco Schirripa Spagnolo, Gaia Bertarelli and Luigi Biggeri
- Gauging Airbnb review sentiments and critical key-topics by small area estimation pp. 1145-1170

- Luca Frigau, Giulia Contu, Marco Ortu and Andrea Carta
- Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor pp. 1171-1191

- Andreea Erciulescu, Jianzhu Li, Tom Krenzke and Machell Town
- Small area prediction of proportions and counts under a spatial Poisson mixed model pp. 1193-1215

- Miguel Boubeta, María José Lombardía and Domingo Morales
Volume 33, issue 3, 2024
- Generalized mixed spatiotemporal modeling with a continuous response and random effect via factor analysis pp. 723-752

- Natália Caroline Costa Oliveira and Vinícius Diniz Mayrink
- Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data pp. 753-781

- G. De Novellis, M. Doretti, G. E. Montanari, M. G. Ranalli and N. Salvati
- Forecasting multidimensional autoregressive time series model with symmetric $$\alpha$$ α -stable noise using artificial neural networks pp. 783-805

- Aastha M. Sathe, Neelesh S. Upadhye and Agnieszka Wyłomańska
- Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments pp. 807-826

- Rouven E. Haschka
- Two-sided distributions with applications in insurance loss modeling pp. 827-861

- Johan René van Dorp and Ekundayo Shittu
- A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints pp. 863-883

- Xue Wu, Chixiang Chen, Zheng Li, Lijun Zhang, Vernon M. Chinchilli and Ming Wang
- Iterative QML estimation for asymmetric stochastic volatility models pp. 885-900

- Paolo Chirico
- Stacking-based neural network for nonlinear time series analysis pp. 901-924

- Tharindu P. De Alwis and S. Yaser Samadi
- ARMA model checking with data-driven portmanteau tests pp. 925-942

- Roberto Baragona, Francesco Battaglia and Domenico Cucina
- Reverse engineering the last-minute on-line pricing practices: an application to hotels pp. 943-971

- Andrea Guizzardi, Luca Vincenzo Ballestra and Enzo D’Innocenzo
- The local distribution of in-work poverty and sectoral employment: an analysis of local dynamics in Italy pp. 973-998

- Giovanni Tonutti, Andrea Garnero, Gaia Bertarelli and Monica Pratesi
- Comparison of short-term fertility intentions of albanian women in Italy with non-migrants in Albania and italian women pp. 999-1024

- Thaís García-Pereiro and Ana Paterno
Volume 33, issue 2, 2024
- Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors pp. 357-380

- Jorge Alberto Achcar and Emerson Barili
- A new Bayesian discrepancy measure pp. 381-405

- Francesco Bertolino, Mara Manca, Monica Musio, Walter Racugno and Laura Ventura
- The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering pp. 407-437

- Niloofar Aslani Akhore Olyaei, Mojtaba Khazaei and Dariush Najarzadeh
- Multinomial Thompson sampling for rating scales and prior considerations for calibrating uncertainty pp. 439-469

- Nina Deliu
- A copula-based portrayal of the collider bias pp. 471-512

- Anning Hu
- Understanding relationships with the Aggregate Zonal Imbalance using copulas pp. 513-554

- F. Durante, A. Gatto and F. Ravazzolo
- Integrating probability and big non-probability samples data to produce Official Statistics pp. 555-580

- Natalia Golini and Paolo Righi
- Point and probabilistic forecast reconciliation for general linearly constrained multiple time series pp. 581-607

- Daniele Girolimetto and Tommaso Di Fonzo
- Online job ads in Italy: a regional analysis of ICT professionals pp. 609-633

- Adham Kahlawi, Lucia Buzzigoli, Francesca Giambona, Laura Grassini and Cristina Martelli
- A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy pp. 635-659

- Angela Andreella, Antonietta Mira, Spyros Balafas, Ernst-Jan C. Wit, Fabrizio Ruggeri, Giovanni Nattino, Giulia Ghilardi and Guido Bertolini
- Parameter estimation for Logistic errors-in-variables regression under case–control studies pp. 661-684

- Pei Geng and Huyen Nguyen
- A robust approach for inference on style analysis coefficients pp. 685-702

- Domenico Vistocco
- Supervised classification of spatial epidemics incorporating infection time uncertainty pp. 703-722

- Gyanendra Pokharel, Shakhawat Hossain and Colton Poitras
Volume 33, issue 1, 2024
- Hidden Markov models for longitudinal rating data with dynamic response styles pp. 1-36

- Roberto Colombi, Sabrina Giordano and Maria Kateri
- Entropy regularization in probabilistic clustering pp. 37-60

- Beatrice Franzolini and Giovanni Rebaudo
- Clustering alternatives in preference-approvals via novel pseudometrics pp. 61-87

- Alessandro Albano, José Luis García-Lapresta, Antonella Plaia and Mariangela Sciandra
- Permutation test of tail dependence pp. 89-129

- Bojan Basrak and Darko Brborović
- Statistically validated coeherence and intensity in temporal networks of information flows pp. 131-151

- Paolo Pagnottoni and Alessandro Spelta
- Locating $$\gamma$$ γ -ray sources on the celestial sphere via modal clustering pp. 153-172

- Anna Montin, Alessandra R. Brazzale, Giovanna Menardi and Andrea Sottosanti
- A Functional approach for constructing dynamic Composite Indicators pp. 173-204

- Annalina Sarra, Eugenia Nissi, Adelia Evangelista and Tonio Di Battista
- Estimating regional unemployment with mobile network data for Functional Urban Areas in Germany pp. 205-233

- Sandra Hadam, Nora Würz, Ann-Kristin Kreutzmann and Timo Schmid
- Iterative threshold-based Naïve bayes classifier pp. 235-265

- Maurizio Romano, Gianpaolo Zammarchi and Claudio Conversano
- A flexible Bayesian variable selection approach for modeling interval data pp. 267-286

- Shubhajit Sen, Damitri Kundu and Kiranmoy Das
- Longitudinal mediation analysis through generalised linear mixed models: a comparison of maximum-likelihood and Bayesian estimation pp. 287-302

- Chiara Di Maria, Antonino Abbruzzo and Gianfranco Lovison
- Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up pp. 303-323

- James H. McVittie
- Mixture polarization in inter-rater agreement analysis: a Bayesian nonparametric index pp. 325-355

- Giuseppe Mignemi, Antonio Calcagnì, Andrea Spoto and Ioanna Manolopoulou
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