flori Florentina Bunea
Professor
Department of Statistical Science
Cornell University
Ithaca, NY  14853-2601

Office: 1184 Comstock Hall
Phone:   607-255-8449
Fax:    
Email: fb238 at cornell dot edu


I have an MS in Mathematics from the University of Bucharest, Romania, and a Ph. D. in Statistics from the University of Washington, Seattle (2000, with Jon Wellner ). I joined the faculty at Cornell in 2011.

My research interests include machine learning and empirical processes theory. I am particularly interested in model selection and averaging (aggregation) in a variety of high dimensional parametric, semi-parametric and nonparametric models. My focus is on defining appropriate notations of sparsity and analyzing theoretically computationally efficient estimators tailored to sparse models, in problems where the number of parameters exceeds the sample size (" p > > n" problems). I have recently become interested in inference in high dimensional matrix models, low rank matrix completion and their applications to the analysis of data arising from Neuroscience mental health studies.


I served as an AE for the Annals of Statistics (2007 - 2010) and currently serve as an Associate Editor for:

The Annals of Applied Statistics

JASA

The Bernoulli Journal

The International Journal of Biostatistics ( IJB )

The Electronic Journal of Statistics ( EJS ), an open access journal of the Institute of Mathematical Statistics IMS .

I am a Series Editor for:

Chapman & Hall/CRC, Monographs on Statistics and Applied Probability (The Green Series) CH/CRC .


My research is partially supported by the National Science Foundation, the Directorate of Mathematical Sciences ( NSF ):

NSF DMS 0406049 Curve aggregation and classification (2004 - 2007).

NSF DMS 0706829 Sparsity oracle inequalities via l1 regularization in nonparametric models (2007 - 2010).

NSF DMS 0925275 Conference grant for: From Probability to Statistics and Back: High Dimensional Models and Processes, Seattle, July 28 - 31, 2010.

NSF DMS 10007444 Matrix estimation under rank constraints for complete and incomplete noisy data (2010 - 2013).





   CV
Courses (To come)
Publications



Courses:

To come


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