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Statistical inference for models of brain activity

Grant number: 14/00947-0
Support Opportunities:Scholarships abroad - Research
Effective date (Start): August 01, 2014
Effective date (End): July 31, 2015
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
Principal Investigator:Florencia Graciela Leonardi
Grantee:Florencia Graciela Leonardi
Host Investigator: Peter Buhlmann
Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Research place: Swiss Federal Institute of Technology Zurich, Switzerland  
Associated research grant:13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat, AP.CEPID


In this project we will be concerned with the statistical inference of graphical models exhibiting an evolution in time. In particular, we will focus on the following research lines:- The development of new probabilistic models for the description of brain activity, taking into account variable range dependence in time and space. - The use of penalized maximum likelihood and convex programming estimation methods to infer the model parameters. This includes also the study of the consistency and efficiency of these methods. - The use and evaluation of some techniques of causal structure learning and inference for neuroscience data.

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