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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC)
(Institutional affiliation for the last research proposal)

Birthplace:
Brazil

received a Bachelor´s degree in Statistics from Universidade Estadual de Campinas (1985), MsSci in Mathematics from Associação Instituto Nacional de Matemática Pura e Aplicada (1988) and Phd. in Statistics from University of Wisconsin - Madison (1993). She has expertise in Probability and Statistics, focusing on Special Stochastic Processes, acting on the following subjects: invariant measure, perfect simulation, percolation, spatial point processes and loss networks. (Source: Lattes Curriculum)

Research grants

- Functional covariates: statistical modeling and software development for energy consumption data, AP.R SPRINT
### Abstract

Our exchange activities consist of working on two research sub-projects( Analysis of Aggregated Energy Consumption Data, Big Data Analytics for Energy Management) described in details in the project. These subprojects will allow the team to bring all researchers to a common ground by generating research in Statisticsand Software Engineering to advance the state-of-the-art and technolog...

- Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat, AP.CEPID
### Abstract

A mathematical center is proposed to integrate mathematical modeling with basic and applied lines of research at the frontier of neuroscience. The proposal is a response to the increasing importance of mathematical structures in theoretical neuroscience. One of the underlying reasons is the huge mass of data generated by recent experimental capabilities of research, whose analysis requi...

- XV Latin American Congress of probability and mathematical statistics, AR.EXT
- Covariate enabled variable length Markov Chains, AV.EXT
### Abstract

Markov Chains with variable length have been widely explored in the literature of probability andstatistics. However, little is known when the transition probabilities depend on exogenous variables. Wepropose novel context algorithms and search for the conditions and asymptotic behavior of the estimatedcontext trees. (AU)

- 32nd Brazilian mathematics colloquium, AO.R

(Only some records are available in English at this moment)

Scholarships in Brazil

- Bayesian inference for signal segmentation in dyed textile images, BP.DR
### Abstract

Markov random fields are often used when analyzing image data. In some applications, these analyses become difficult due to the presence of textures in images, which hinders the use of spatial models with simple interaction neighborhoods because they induce very sophisticated correlation structures. The main goals of the project are (i) to study and develop probabilistic methods for ide...

- Gibbs Measures for infinite random graphs, BP.PD
### Abstract

The objective of this project is to study a spatial network model with set of vertices given by a locally finite set of R^d. Our goal is the construction of an infinite volume Gibbs measure for which the probability of observing a graph is based on the graph's statistics (triangles, stars, vertices degree) and it penalizes edges between nodes that are very far apart.

- Inference for non-Poissonian point processes, BP.PD
### Abstract

Poisson processes are one of the most popular point process models for count data. Many natural phenomena can be described with this process, and estimation of parameters is usually easy. The basic assumption for a spatial Poisson process is independence between disjoint sets. However, data from many applications show interaction between points, either by clustering or repulsion. In thi...

- 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-...

(Only some records are available in English at this moment)

Scholarships abroad

- Statistical inference on networks, BE.EP.PD
### Abstract

In this research project we aim to study new statistical inference approaches for networks' analysis. In particular we focus on networks that exhibit community structure, that is, the nodes are organized into groups with similar connection patterns. We are interested in developing new statistical approaches applied to the study of a single network as well as for random samples of networks.

- Analysis of spatio-temporal aggregated data, BE.PQ
### Abstract

n many areas of science one aims to study latent sub-population based only on observations of aggregated population observation. In this work, aggregated curves will mean linear combination of functional data that cannot be observed individually. We assume that several aggregated curves with linearly independent coefficients are available and each aggregated curve is an independent part...

2 /
2
| Ongoing research grants |

10 /
8
| Completed research grants |

1 /
1
| Ongoing scholarships in Brazil |

10 /
6
| Completed scholarships in Brazil |

3 /
2
| Completed scholarships abroad |

26 /
19
| 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 | 38 |

Cit./Article | 2.7 |

Data from Web of Science |

GARCIA‚ N.; PALACIOS‚ J.L.. On mixing times for stratified walks on the d-cube.** RANDOM STRUCTURES & ALGORITHMS**, v. 20, n. 4, p. 540-552, 2002.

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: 9. (09/09809-1)

DIAS, RONALDO; GARCIA, NANCY L.; ZAMBOM, ADRIANO Z.. A penalized nonparametric method for nonlinear constrained optimization based on noisy data.** COMPUTATIONAL OPTIMIZATION AND APPLICATIONS**, v. 45, n. 3, p. 521-541, APR 2010. Web of Science Citations: 4.

FREGUGLIA, VICTOR; GARCIA, NANCY L.; BICAS, JULIANO L.. Hidden Markov random field models applied to color homogeneity evaluation in dyed textile images.** ENVIRONMETRICS**, v. 31, n. 4, DEC 2019. Web of Science Citations: 0. (17/25469-2, 17/10555-0)

GARCIA, NANCY L.; GUTTORP, PETER; LUDWIG, GUILHERME. Interacting cluster point process model for epidermal nerve fibers.** SPATIAL STATISTICS**, v. 35, MAR 2020. Web of Science Citations: 0. (14/26419-0, 16/09390-4, 18/09877-6, 17/15306-9)

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; 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)

GARCIA, NANCY L.; MOREIRA, LUCAS. Stochastically Perturbed Chains of Variable Memory.** Journal of Statistical Physics**, v. 159, n. 5, p. 1107-1126, JUN 2015. Web of Science Citations: 0. (08/10693-5, 13/07699-0)

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.. 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)

LENZI, AMANDA; DE SOUZA, CAMILA P. E.; DIAS, RONALDO; GARCIA, NANCY L.; HECKMAN, NANCY E.. Analysis of aggregated functional data from mixed populations with application to energy consumption.** ENVIRONMETRICS**, v. 28, n. 2, MAR 2017. Web of Science Citations: 2. (14/26419-0, 13/07375-0, 14/26414-9)

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, 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)

DIAS, RONALDO; GARCIA, NANCY L.; ZAMBOM, ADRIANO Z.. Monte Carlo algorithm for trajectory optimization based on Markovian readings.** COMPUTATIONAL OPTIMIZATION AND APPLICATIONS**, v. 51, n. 1, p. 305-321, JAN 2012. Web of Science Citations: 2.

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)

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

ZAMBOM, Adriano Zanin. Estimação não parametrica da trajetoria percorrrida por um veiculo autonomo. Dissertação (Mestrado) - Instituto de Matemática, Estatística e Computação Científica. Universidade Estadual de Campinas (UNICAMP). (06/02095-5)

MATTA, David Henriques da. Algoritmos de estimação para Cadeias de Markov de alcance variavel : aplicações a detecção do ritmo em textos escritos. Dissertação (Mestrado) - Instituto de Matemática Estatística e Computação Científica. Universidade Estadual de Campinas. (05/03434-5)

MARIC, Nevena. Simulação perfeita para redes com perdas. 71 f. Dissertação (Mestrado) - Instituto de Matemática, Estatística e Computação Científica. Universidade Estadual de Campinas (UNICAMP). Campinas. (00/01375-8)

MOREIRA, Lucas. Processos de ordem infinita estocasticamente perturbados. Tese (Doutorado) - Instituto de Matemática, Estatística e Computação Científica. Universidade Estadual de Campinas (UNICAMP). (08/10693-5)

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