Generating functions and stability study of multivariate self-excited epidemic processes
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DOI: 10.1140/epjb/e2011-20298-3
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References listed on IDEAS
- Luc, BAUWENS & Nikolaus, HAUTSCH, 2006.
"Modelling Financial High Frequency Data Using Point Processes,"
Discussion Papers (ECON - Département des Sciences Economiques)
2006039, Université catholique de Louvain, Département des Sciences Economiques.
- BAUWENS, Luc & HAUTSCH, Nikolaus, 2009. "Modelling financial high frequency data using point processes," LIDAM Reprints CORE 2123, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & Hautsch, Nikolaus, 2007. "Modelling financial high frequency data using point processes," SFB 649 Discussion Papers 2007-066, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- BAUWENS, Luc & HAUTSCH, Nikolaus, 2006. "Modelling financial high frequency data using point processes," LIDAM Discussion Papers CORE 2006080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
- Alexandre Boumezoued, 2015. "Population viewpoint on Hawkes processes," Papers 1504.06563, arXiv.org.
- Gabriel Koch Ocker & Krešimir Josić & Eric Shea-Brown & Michael A Buice, 2017. "Linking structure and activity in nonlinear spiking networks," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-47, June.
- Didier Sornette & Thomas Maillart & Giacomo Ghezzi, 2014. "How Much Is the Whole Really More than the Sum of Its Parts? 1 ⊞ 1 = 2.5: Superlinear Productivity in Collective Group Actions," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-15, August.
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