Event submissions
Published
This submission belongs to the session Session 6. Entropy in Multidisciplinary Applications of the event Entropy 2021: The Scientific Tool of the 21st Century
Published date
05 May, 2021
Citation
Marzio Di Vece, Tiziano Squartini, Diego Garlaschelli, <span>From Network Reconstruction to Network Econometrics: unbiased estimation of average effects</span>, in Proceedings of Entropy 2021: The Scientific Tool of the 21st Century, 5 May–7 May 2021, MDPI: Basel, Switzerland, doi: 10.3390/Entropy2021-09772
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From Network Reconstruction to Network Econometrics: unbiased estimation of average effects
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Marzio Di Vece 1
Tiziano Squartini 1,2
Diego Garlaschelli 1,3
1. IMT School for Advanced Studies Lucca, P.zza San Francesco 19, 55100 Lucca (Italy)
2. Institute for Advanced Study (IAS), University of Amsterdam
3. Instituut-Lorentz for Theoretical Physics, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, Netherlands
Abstract
Keywords
network reconstruction
graph entropy
entropy maximization
economics
regression
econometrics
network modelling
Manuscript
sciforum-044208.pdf
Poster
Entropy2021_Poster_Marzio_Di_Vece.pdf