S. Iacus

Stefano M. Iacus, Elena Siletti, Giuseppe Porro, 2018, Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018).

The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations

Hideitsu Hino, Nakahiro Yoshida, Stefano M. Iacus, 2014 .

Simulation and Inference for Stochastic Differential Equations: With R Examples

Stefano M. Iacus, S. Iacus, 2008 .

SDE : simulation and inference for stochastic differential equations

S. Iacus, 2008 .

Missing data imputation, matching and other applications of random recursive partitioning

Giuseppe Porro, Stefano Maria Iacus, S. Iacus, 2007, Comput. Stat. Data Anal..

Semiparametric Hypotheses Testing for Dynamical System with Small Noise

Stefano M. Iacus, S. Iacus, Y. Kutoyants, 2004 .

Efficient Estimation of Dynamical Systems

S. Iacus, 2000 .

Explaining Party Ideological Stances: From Simulation to Real Elections

S. Iacus, L. Curini, 2012 .

Parameter estimation for the discretely observed fractional Ornstein–Uhlenbeck process and the Yuima R package

Stefano M. Iacus, Alexandre Brouste, S. Iacus, 2011, Computational Statistics.

Don't ask, just listen … Using social networks to measure subjective well‐being

S. Iacus, G. Porro, 2022, Significance.

Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study pdf

Airo Hino, Tiziana Carpi, Stefano Maria Iacus, 2021, ArXiv.

Statistical analysis of stochastic resonance with ergodic diffusion noise

S. Iacus, 2001, Stochastics and Stochastic Reports.

COGARCH(p, q): Simulation and Inference with the yuima Package

Stefano M. Iacus, Lorenzo Mercuri, Edit Rroji, 2017 .

Territorial differences in the spread of COVID-19 in European regions and US counties

F. Natale, S. Iacus, Francesco Sermi, 2021, PloS one.

Least Squares Volatility Change Point Estimation for Partially Observed Diffusion Processes

S. M. Iacus, S. Iacus, A. De Gregorio, 2007, Communications in Statistics - Theory and Methods.

On a Japanese Subjective Well-Being Indicator Based on Twitter data pdf

Stefano Maria Iacus, Tiziana Carpi, Airo Hino, 2020, ArXiv.

Compliance with restrictive measures during the COVID-19 pandemic in Europe: Does political partisanship influence behavioural responses?

S. Iacus, Marco Scipioni, Guido Tintori, 2022, ArXiv.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Ashutosh Kumar Singh, Dean V. Neubauer, Z. Q. John Lu, 2010 .

Mobility in Blue-Green Spaces Does Not Predict COVID-19 Transmission: A Global Analysis

S. Iacus, A. Sadilek, D. Barton, 2021, International journal of environmental research and public health.

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

S. Iacus, C. Bosco, U. Minora, 2022, ArXiv.

The Arabic discourse about support for ISIS on Twitter and what we can learn from that

Stefano M. Iacus, Andrea Ceron, Luigi Curini, 2018 .

The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union

S. Iacus, C. Bosco, U. Minora, 2022, EPJ Data Science.

Search-and-rescue in the Central Mediterranean Route does not induce migration: Predictive modeling to answer causal queries in migration research

S. Iacus, J. Wucherpfennig, Ramona Rischke, 2023, Scientific reports.

Catturare l’evoluzione di una emozione

S. Iacus, A. Ceron, L. Curini, 2014 .

Mobility functional areas and COVID-19 spread

Dario Tarchi, Michele Vespe, Stefano Maria Iacus, 2021, Transportation.

Does European Monetary Union make inflation dynamics more uniform?

S. Iacus, G. Porro, 2014 .

Method Bioconductor: open software development for computational biology and bioinformatics

K. Hornik, R. Gentleman, F. Leisch, 2004 .

A Theory of Statistical Inference for Matching Methods in Causal Research

S. Iacus, G. Porro, Gary King, 2018, Political Analysis.

Least-squares change-point estimation for the telegraph process observed at discrete times

S. Iacus, A. De Gregorio, 2007, 0705.0503.

Every tweet counts? How sentiment analysis of social networks can improve our knowledge of citizens’ policy preferences. An application to Italy and France

Andrea Ceron, S. Iacus, A. Ceron, 2012 .

Adaptive LASSO-type estimation for ergodic diffusion processes

S. Iacus, A. Gregorio, 2010, 1002.1312.

On penalized estimation for dynamical systems with small noise

S. Iacus, A. Gregorio, 2009 .

On Lasso-type estimation for dynamical systems with small noise

S. Iacus, 2009 .

On Rényi information for ergodic diffusion processes

Stefano Maria Iacus, Alessandro De Gregorio, S. Iacus, 2007, Inf. Sci..

The useR's Point of View

Simon Urbanek, Stefano M. Iacus, Uwe Ligges, 2006 .

Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness

Dario Tarchi, Michele Vespe, Francesco Sermi, 2020, Japanese Journal of Statistics and Data Science.

nopp 1.0.0 (Nash Optimal Party Positions): An R-Package

S. Iacus, L. Curini, 2012 .

Estimating Unobservable Signal by Markovian Noise Induction. When Noise Helps in Statistics!

S. Iacus, I. Negri, 2003 .

Implementation of Lévy CARMA model in Yuima package

Stefano M. Iacus, Lorenzo Mercuri, S. Iacus, 2014, Computational Statistics.

Bioconductor Project Bioconductor Project Working Papers Year Paper Bioconductor : Open software development for computational biology and bioinformatics

K. Hornik, R. Gentleman, F. Leisch, 2013 .

A comparative simulation study on the IFS distribution function estimator

S. Iacus, D. Torre, 2005 .