Michelle Miranda
![]() |
PhD Student
Statistics Email: fmiranda at email dot unc dot edu |
EDUCATION
Ph.D candidate in Statistics, University of North Carolina at Chapel Hill
- Advisors: Joseph G. Ibrahim and Hongtu Zhu
- Dissertation: Bayesian Analysis of High-Dimensional Neuroimaging Data
- Expected defense date: June 2014
Master of Arts, Universidade Federal de Minas Gerais, May 2007
- Thesis award from CAPES/Brazil
- Master鈥檚 thesis: Nonparametric Estimation for Diffusion Processes
Bachelor of Arts, Universidade Federal de Minas Gerais, April 2005
- Major: Statistics
PRIMARY RESEARCH INTERESTS
My main research interest is to develop new methods to model associations between clinical variables and multi-dimensional imaging data.
My focus is on Bayesian analysis and it involves primarily:
- Tensor decomposition techniques such as CP and Tukey
- Partial factor models
- Dictionary learning
- Functional principal components analysis
REFERRED PUBLICATIONS
Miranda, M. F., Zhu, H. and Ibrahim, J. G.聽 Bayesian Spatial Transformation Models with Applications in Neuroimaging Data.
Biometrics, 69-4, pages 1074-1083
http://onlinelibrary.wiley.com/doi/10.1111/biom.12085/references
RESEARCH IN PROGRESS
Bayesian Tensor Regression with Applications in Neuroimaging Data
Low Rank Partition Models with Applications in Neuroimaging Data
FELLOWSHIPS, AWARDS AND DISTINCTIONS
Dissertation Completion Fellowship Award- 黑料网 Graduate School; academic year 2013-2014.
CAPES/Fulbright Scholarship, Fall 2008 until Spring 2012
GD Master Fellowship from CNPQ/Brazil, Spring 2005 until Fall 2006
Scientific Initiation Scholarship, Spring and Fall 2003