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Stefano Maria Iacus
Stefano Maria Iacus
Director of Data Science and Product Research, IQSS, Harvard
Verifierad e-postadress på iq.harvard.edu - Startsida
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Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman, VJ Carey, DM Bates, B Bolstad, M Dettling, S Dudoit, ...
Genome biology 5, 1-16, 2004
140082004
Causal inference without balance checking: Coarsened exact matching
SM Iacus, G King, G Porro
Political analysis 20 (1), 1-24, 2012
38182012
cem: Coarsened exact matching in Stata
M Blackwell, S Iacus, G King, G Porro
The Stata Journal 9 (4), 524-546, 2009
18432009
Multivariate matching methods that are monotonic imbalance bounding
SM Iacus, G King, G Porro
Journal of the American Statistical Association 106 (493), 345-361, 2011
11332011
Simulation and inference for stochastic differential equations: with R examples
SM Iacus
Springer, 2008
7582008
Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France
A Ceron, L Curini, SM Iacus, G Porro
New media & society 16 (2), 340-358, 2014
7342014
CEM: Software for coarsened exact matching
S Iacus, G King, G Porro
Journal of statistical Software 30, 1-27, 2009
5852009
Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact
SM Iacus, F Natale, C Santamaria, S Spyratos, M Vespe
Safety Science 129, 104791, 2020
3892020
Evaluating COVID-19 public health messaging in Italy: Self-reported compliance and growing mental health concerns
S Barari, S Caria, A Davola, P Falco, T Fetzer, S Fiorin, L Hensel, ...
MedRxiv, 2020.03. 27.20042820, 2020
3352020
Using sentiment analysis to monitor electoral campaigns: Method matters—evidence from the United States and Italy
A Ceron, L Curini, SM Iacus
Social Science Computer Review 33 (1), 3-20, 2015
2352015
Matching for causal inference without balance checking
SM Iacus, G King, G Porro
Available at SSRN 1152391, 2008
2162008
Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis
C Santamaria, F Sermi, S Spyratos, SM Iacus, A Annunziato, D Tarchi, ...
Safety Science 132, 104925, 2020
1402020
Social Media e Sentiment Analysis: L'evoluzione dei fenomeni sociali attraverso la Rete
A Ceron, L Curini, SM Iacus
Springer Science & Business Media, 2014
1182014
Human mobility and COVID-19 initial dynamics
SM Iacus, C Santamaria, F Sermi, S Spyratos, D Tarchi, M Vespe
Nonlinear Dynamics 101, 1901-1919, 2020
1132020
A theory of statistical inference for matching methods in causal research
SM Iacus, G King, G Porro
Political Analysis 27 (1), 46-68, 2019
1062019
First-and second-level agenda setting in the Twittersphere: An application to the Italian political debate
A Ceron, L Curini, SM Iacus
Journal of Information Technology & Politics 13 (2), 159-174, 2016
1062016
Politics and big data: Nowcasting and forecasting elections with social media
A Ceron, L Curini, SM Iacus
Routledge, 2016
1052016
The yuima project: A computational framework for simulation and inference of stochastic differential equations
A Brouste, M Fukasawa, H Hino, S Iacus, K Kamatani, Y Koike, H Masuda, ...
Journal of statistical software 57, 1-51, 2014
1052014
iSA: A fast, scalable and accurate algorithm for sentiment analysis of social media content
A Ceron, L Curini, SM Iacus
Information Sciences 367, 105-124, 2016
1022016
Parameter estimation for the discretely observed fractional Ornstein–Uhlenbeck process and the Yuima R package
A Brouste, SM Iacus
Computational Statistics 28 (4), 1529-1547, 2013
952013
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Artiklar 1–20