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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET)
(Institutional affiliation for the last research proposal)

Birthplace:
Brazil

Alexsandro Giacomo Grimbert Gallo in research grants and scholarships supported by FAPESP.

Research grants

- Stochastic chains with long memory, AP.R
### Abstract

We propose to develop a general study of long range stochastic chains, under several approaches listed below.(1) Questions related to existence and uniqueness of the stationary measure. (2) Construction of algorithms that perfectly simulates the stationary measure, and relation with the notion of finitary coding. (3) Relation between the notion of Gibbsianess and the notion of regularit...

Scholarships in Brazil

- Stochastic chains with unbounded memory and application in neuroscience, BP.DR
### Abstract

Stochastic chains with unbounded memory are a natural generalization of Markov chains, in the sense that the transition probabilities may depend on the whole past. These process, introduced by Onicescu and Mihoc (1935) and Doeblin and Fortet (1937), have been receiving increasing attention in the probabilistic literature, because they form a class richer than the Markov chains and have ...

- Stochastic processes with variable length memory: Monge-Kantorovich problem, bootstrap and particle systems, BP.PD
### Abstract

This project contains two principal parts which can be seen as a continuation and generalization of the PhD Thesis of the candidate. First, we will use the regenerative structure of the stochastic processes with unbounded variable length memory which have been introduced in the PhD Thesis \citep{gallo/2009} to solve two questions of actual probability theory. The first one is the Monge-...

Scholarships abroad

- Poincaré recurrence statistics and extreme value theory, BE.PQ
### Abstract

The main objective of the present project is to study the Poincaré recurrence statistics, and their relations with extreme value theory, for stochastic processes (or equivalently, dynamical systems). Our focus will be through a statistics of the process called first possible return time. First, we want to study the asymptotic properties of the first possible return time, under general ...

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| Completed research grants |

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2
| Completed scholarships in Brazil |

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1
| Completed scholarships abroad |

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| All research grants and scholarships |

Associated processes |

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Publications | 14 |

Citations | 46 |

Cit./Article | 3.3 |

Data from Web of Science |

GALLO, SANDRO; GARCIA, NANCY L.. Discrete One-Dimensional Coverage Process on a Renewal Process.** Journal of Statistical Physics**, v. 173, n. 2, p. 381-397, OCT 2018. Web of Science Citations: 0. (14/26419-0, 17/07084-6, 15/09094-3, 13/07699-0)

GALLO, SANDRO. CHAINS WITH UNBOUNDED VARIABLE LENGTH MEMORY: PERFECT SIMULATION AND A VISIBLE REGENERATION SCHEME.** ADVANCES IN APPLIED PROBABILITY**, v. 43, n. 3, p. 735-759, SEP 2011. Web of Science Citations: 12.

GALLO, SANDRO; PACCAUT, FREDERIC. On non-regular g-measures.** Nonlinearity**, v. 26, n. 3, p. 763-776, MAR 2013. Web of Science Citations: 6. (09/09809-1)

GALLO, SANDRO; TAKAHASHI, DANIEL Y.. Attractive regular stochastic chains: perfect simulation and phase transition.** Ergodic Theory and Dynamical Systems**, v. 34, n. 5, p. 1567-1586, OCT 2014. Web of Science Citations: 5. (08/08171-0, 09/09809-1)

GALLO, SANDRO; LEONARDI, FLORENCIA. Nonparametric statistical inference for the context tree of a stationary ergodic process.** ELECTRONIC JOURNAL OF STATISTICS**, v. 9, n. 2, p. 2076-2098, 2015. Web of Science Citations: 0. (13/07699-0, 15/09094-3)

ABADI, MIGUEL; GALLO, SANDRO; RADA-MORA, ERIKA ALEJANDRA. The Shortest Possible Return Time of ss-Mixing Processes.** IEEE TRANSACTIONS ON INFORMATION THEORY**, v. 64, n. 7, p. 4895-4906, JUL 2018. Web of Science Citations: 0. (14/19805-1, 15/09094-3, 13/07699-0)

GALLESCO, CHRISTOPHE; GALLO, SANDRO; TAKAHASHI, DANIEL Y.. Dynamic uniqueness for stochastic chains with unbounded memory.** Stochastic Processes and their Applications**, v. 128, n. 2, p. 689-706, FEB 2018. Web of Science Citations: 2. (13/10101-9, 13/07699-0, 15/09094-3)

GALLESCO, C.; GALLO, S.; TAKAHASHI, D. Y.. Explicit estimates in the Bramson-Kalikow model.** Nonlinearity**, v. 27, n. 9, p. 2281-2296, SEP 2014. Web of Science Citations: 2. (13/10101-9, 08/08171-0, 09/09809-1)

GALLO, SANDRO; GARCIA, NANCY L.. Perfect simulation for locally continuous chains of infinite order.** Stochastic Processes and their Applications**, v. 123, n. 11, p. 3877-3902, NOV 2013. Web of Science Citations: 2. (09/09809-1)

GALLO, S.; LERASLE, M.; TAKAHASHI, D. Y.. Markov Approximation of Chains of Infinite Order in the (d)over-bar-metric.** Markov Processes and Related Fields**, v. 19, n. 1, p. 51-82, 2013. Web of Science Citations: 4. (09/09494-0, 09/09809-1, 08/08171-0)

ABADI, MIGUEL; CARDENO, LILIAM; GALLO, SANDRO. Potential Well Spectrum and Hitting Time in Renewal Processes.** Journal of Statistical Physics**, v. 159, n. 5, p. 1087-1106, JUN 2015. Web of Science Citations: 2. (09/09809-1)

FERNANDEZ, ROBERTO; GALLO, SANDRO; MAILLARD, GREGORY. REGULAR G-MEASURES ARE NOT ALWAYS GIBBSIAN.** Electronic Communications in Probability**, v. 16, p. 732-740, NOV 20 2011. Web of Science Citations: 10. (09/09809-1)

GALLO, SANDRO; RODRIGUEZ, PABLO M.. FROG MODELS ON TREES THROUGH RENEWAL THEORY.** JOURNAL OF APPLIED PROBABILITY**, v. 55, n. 3, p. 887-899, SEP 2018. Web of Science Citations: 1. (16/11648-0, 15/09094-3, 17/10555-0)

GALLO, SANDRO; GARCIA, NANCY L.. Discrete One-Dimensional Coverage Process on a Renewal Process.** Journal of Statistical Physics**, v. 173, n. 2, p. 381-397, OCT 2018. Web of Science Citations: 0. (14/26419-0, 17/07084-6, 15/09094-3, 13/07699-0)

(References retrieved automatically from State of São Paulo Research Institutions)

GALLO, Alexsandro Giacomo Grimbert. Simulação perfeita de cadeias de alcance variável não limitado. 2009. 98f. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (06/57387-0)

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