On the estimation of the mean of a random vector

Emilien Joly, Gábor Lugosi and Roberto Imbuzeiro Oliveira

We study the problem of estimating the mean of a multivariate distribution based on independent samples. The main result is the proof of existence of an estimator with a non-asymptotic sub-Gaussian performance for all distributions satisfying some mild moment assumptions.

Densities in large permutations and parameter testing

Roman Glebov, Carlos Hoppen, Tereza Klimošová, Yoshiharu Kohayakawa, Daniel Král’ and Hong Liu.

A classical theorem of Erdős, Lovász and Spencer asserts that the densities of connected subgraphs in large graphs are independent. We prove an analogue of this theorem for permutations and we then apply the methods used in the proof to give an example of a finitely approximable permutation parameter that is not finitely forcible. The latter answers a question posed by two of the authors and Moreira and Sampaio.

Nesting a culture for computational neuroscience

The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) held in January and early February the seventh edition of the Latin American School on Computational Neuroscience. LASCON is a biennial school aiming at introducing advanced undergraduate, graduate students and young researchers, mostly from Latin America, to the use of mathematical and computational methods for modeling neurons and neural networks of the brain. Antonio Carlos Roque da Silva Filho, a NeuroMat co-principal investigator, is at the head of LASCON.

Representing Neuromathematics: complex images for science dissemination

The NeuroMat dissemination team has led an experimental project to produce graphic video representations of papers from the NeuroMat research team. The goal is to experiment a new language for scientific dissemination that both provides an understanding of the research process and contributes to the development of a new line of research on how to represent science.

Vagas para programadores

O Centro de Pesquisa, Inovação e Difusão em Neuromatemática (CEPID NeuroMat) está oferecendo bolsas de treinamento técnico para programadores interessados em fazer parte de um centro de pesquisas científicas de alto nível.




O Centro de Pesquisa, Inovação e Difusão em Neuromatemática está sediado na Universidade de São Paulo e é financiado pela FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo).


Login do usuário



Rua do Matão, 1010 - Cidade Universitária - São Paulo - SP - Brasil. 05508-090. Veja o mapa.

55 11 3091-1717


Contatos de mídia: