Approximating distribution functions by iterated function systems. - Stefano Maria Iacus; Davide La Torre (Adv. Decis. Sci., 2005)

Missing data imputation, matching and other applications of random recursive partitioning. - Stefano Maria Iacus; Giuseppe Porro (Comput. Stat. Data Anal., 2007)

On Rényi information for ergodic diffusion processes. - Alessandro De Gregorio; Stefano Maria Iacus (Inf. Sci., 2009)

Clustering of discretely observed diffusion processes. - Alessandro De Gregorio; Stefano Maria Iacus (Comput. Stat. Data Anal., 2010)

Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package. - Alexandre Brouste; Stefano Maria Iacus (Comput. Stat., 2013)

On a family of test statistics for discretely observed diffusion processes. - Alessandro De Gregorio; Stefano Maria Iacus (J. Multivar. Anal., 2013)

Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens' political preferences with an application to Italy and France. - Andrea Ceron; Luigi Curini; Stefano Maria Iacus; Giuseppe Porro (New Media Soc., 2014)

Measuring Social Well Being in The Big Data Era: Asking or Listening? - Matteo Curti; Stefano Maria Iacus; Giuseppe Porro; Elena Siletti (CoRR, 2015)

Social networks, happiness and health: from sentiment analysis to a multidimensional indicator of subjective well-being. - Stefano Maria Iacus; Giuseppe Porro; Silvia Salini; Elena Siletti (CoRR, 2015)

Implementation of Lévy CARMA model in Yuima package. - Stefano Maria Iacus; Lorenzo Mercuri (Comput. Stat., 2015)

iSA: A fast, scalable and accurate algorithm for sentiment analysis of social media content. - Andrea Ceron; Luigi Curini; Stefano Maria Iacus (Inf. Sci., 2016)

ISIS at its apogee: the Arabic discourse on Twitter and what we can learn from that about ISIS support and Foreign Fighters. - Andrea Ceron; Luigi Curini; Stefano Maria Iacus (CoRR, 2018)

Is Japanese gendered language used on Twitter ? A large scale study. - Tiziana Carpi; Stefano Maria Iacus (CoRR, 2020)

Forecasting asylum-related migration flows with machine learning and data at scale. - Marcello Carammia; Stefano Maria Iacus; Teddy Wilkin (CoRR, 2020)

On a Japanese Subjective Well-Being Indicator Based on Twitter data. - Tiziana Carpi; Airo Hino; Stefano Maria Iacus; Giuseppe Porro (CoRR, 2020)

Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models. - Hao Chi Kiang; Krzysztof Bartoszek; Sebastian Sakowski; Stefano Maria Iacus; Michele Vespe (CIBB, 2021)

Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study. - Tiziana Carpi; Airo Hino; Stefano Maria Iacus; Giuseppe Porro (CoRR, 2021)

Mobility Functional Areas and COVID-19 Spread. - Stefano Maria Iacus; Carlos Santamaria; Francesco Sermi; Spyridon Spyratos; Dario Tarchi; Michele Vespe (CoRR, 2021)

On the Use of Data from Multiple Mobile Network Operators in Europe to fight COVID-19. - Michele Vespe; Stefano Maria Iacus; Carlos Santamaria; Francesco Sermi; Spyridon Spyratos (CoRR, 2021)

Monitoring COVID-19-induced gender differences in teleworking rates using Mobile Network Data. - Sara Grubanov-Boskovic; Spyridon Spyratos; Stefano Maria Iacus; Umberto Minora; Francesco Sermi (CoRR, 2021)

Compliance with restrictive measures during the COVID-19 pandemic in Europe: Does political partisanship influence behavioural responses? - Stefano Maria Iacus; Marco Scipioni; Spyridon Spyratos; Guido Tintori (CoRR, 2022)

Migration patterns, friendship networks, and the diaspora: the potential of Facebook's Social Connectedness Index to anticipate migration flows induced by Russia's invasion of Ukraine in the European Union. - Umberto Minora; Martina Belmonte; Claudio Bosco; Drew Johnston; Eugenia Giraudy; Stefano Maria Iacus; Francesco Sermi (CoRR, 2022)

Data Innovation in Demography, Migration and Human Mobility. - Claudio Bosco; Sara Grubanov-Boskovic; Stefano Maria Iacus; Umberto Minora; Francesco Sermi; Spyridon Spyratos (CoRR, 2022)

The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union. - Umberto Minora; Claudio Bosco; Stefano Maria Iacus; Sara Grubanov-Boskovic; Francesco Sermi; Spyridon Spyratos (EPJ Data Sci., 2022)

Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research. - Marcello Carammia; Stefano Maria Iacus; Giuseppe Porro (CoRR, 2024)

GREI Data Repository AI Taxonomy. - John Chodacki; Mark Hanhel; Stefano M. Iacus; Ryan Scherle; Eric Olson; Nici Pfeiffer; Kristi L. Holmes; Mohammad Hosseini 003 (CoRR, 2024)

International mobility between the UK and Europe around Brexit: a data-driven study. - Alina Sîrbu; Diletta Goglia; Jisu Kim; Paul Maximilian Magos; Laura Pollacci; Spyridon Spyratos; Giulio Rossetti; Stefano Maria Iacus (J. Comput. Soc. Sci., 2024)

clarify: Simulation-Based Inference for Regression Models. - Noah Greifer; Steven Worthington; Stefano M. Iacus; Gary King (R J., 2025)

Deep literature reviews: an application of fine-tuned language models to migration research. - Stefano M. Iacus; Haodong Qi; Jiyoung Han (CoRR, 2025)

Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages. - Andrea Nasuto; Stefano Maria Iacus; Francisco Rowe; Devika Jain (CoRR, 2025)