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David Degras-Valabregue

Assistant Professor

Ph.D., Statistics
Université Paris VI (France)

Contact Information:

Office: Science 1-062
Phone: (617) 287-6439
Email: david.degras
Web Site

Fall 2017 Office Hours:

Mon 11:00am - 12:00pm and 2:45pm - 3:45pm
Wed 11:00am - 12:00pm and 2:45pm - 3:45pm

Professional Interests: High-dimensional statistics, functional data analysis, statistical computing, machine learning, neuroimaging.

Recent Teaching:
    By Semester
    By Course

Fall 2017 Courses:

Course Section Meeting Times

MATH 141 Calculus II


MW 05:30pm - 06:45pm
W 07:00pm - 07:50pm

MATH 345 Probability and Statistics I


MW 04:00pm - 05:15pm

Recent Publications:

2017 Simultaneous confidence bands for the mean of functional data. Wiley Interdiscip. Rev. Comput. Stat. 9 (2017), no. 3, e1397, 15, [Degras, David A.]
2014 A hierarchical model for simultaneous detection and estimation in multi-subject fMRI Studies. NeuroImage 98 (2014), 61--72, [Degras, David and Lindquist, Martin]
Rotation sampling for functional data. Statist. Sinica 24 (2014), no. 3, 1075--1095, [Degras, David]
Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs. ESAIM Probab. Stat. 18 (2014), 881--899, [Benhenni, Karim and Degras, David]
2013 Confidence bands for Horvitz-Thompson estimators using sampled noisy functional data. Bernoulli 19 (2013), no. 5A, 2067--2097, [Cardot, Hervé and Degras, David and Josserand, Etienne]
2012 Testing for parallelism among trends in multiple time series. IEEE Trans. Signal Process. 60 (2012), no. 3, 1087--1097, [Degras, David and Xu, Zhiwei and Zhang, Ting and Wu, Wei Biao]
2011 Simultaneous confidence bands for nonparametric regression with functional data. Statist. Sinica 21 (2011), no. 4, 1735--1765, [Degras, David A.]
2009 Nonparametric estimation of a trend based upon sampled continuous processes. C. R. Math. Acad. Sci. Paris 347 (2009), no. 3--4, 191--194, [Degras, David]
2008 Asymptotics for the nonparametric estimation of the mean function of a random process. Statist. Probab. Lett. 78 (2008), no. 17, 2976--2980, [Degras, David]
More publications

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