CV Lattes
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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Argentina
Licenciado en Matematica from Universidad de Buenos Aires (1974), Master in Statistics from Universidade de São Paulo (1978) and Phd. in Statistics from Universidade de São Paulo (1982). He works in probability and stochastic processes, in particular the simple exclusion process, the zero range process, loss networks, perfect simulation and point processes in space-time. (Source: Lattes Curriculum)
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(Only some records are available in English at this moment)
In Hernández et al. (2021), the authors studied the brain´s ability to identify non-trivialpatterns in Electroencephalogram (EEG) data through an experimental protocol that involvesexposing volunteers to a sequence of stimuli generated by Variable Length Markov Chains(VLMC). Analysis of these data shows that brain processing seems to be capable of learningstructural characteristics of VLM…
My research has been mostly focused on statistical model selection for systems of discrete time interacting chains with memory of variable length introduced by Galves-Löcherbach recentlyas well as on stability properties and hydrodynamic limits for their continuous timecounterparts. In this research proposal we present some results recently achievedand address future challenges for resear…
We consider Non Markovian Stochastic processes describing the time evolution of a countable system of neurons in both, discrete and continuous time. The evolution of the process can be informally described as follows. For each neuron the rate (in continuous time) or theprobability (in discrete time) of spiking depends on the time evolution of the entire system after its last spiking time.…
We consider non Markovian stochastic processes describing the time evolution of a countable system of neurons in both discrete and continuous time. The evolutionof the process can be informally described as follows. For each neuron the rate (incontinuous time) or the probability (in discrete time) of spiking depends on the time evolution of the entire system after its last spike time. Whe…
(Only some records are available in English at this moment)
| 48 / 24 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 26 / 7 | Completed scholarships in Brazil |
| 2 / 0 | Completed scholarships abroad |
| 78 / 33 | All research grants and scholarships |
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