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David Degras-Valabregue
Associate Professor
Ph.D., Statistics
Université Paris VI (France)
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Contact Information:
Office: Wheatley 3-154-24
Phone: (617) 287-6460
Email: david.degras
Spring 2024 Office Hours:
Sabbatical leave |

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Professional Interests: High-dimensional statistics, functional data analysis, statistical computing, machine learning, neuroimaging.
Recent Publications:
2023 |
[MR4552947] Scalable feature matching across large data collections.
. J. Comput. Graph. Statist. 32, no. 1, 196--212.. --- Degras, David |
2022 |
[MR4437661] Markov-switching state-space models with applications to neuroimaging
. Comput. Statist. Data Anal. 174 (2022), Paper No. 107525, 23 pp. --- Degras, David ; Ting, Chee-Ming ; Ombao, Hernando |
2021 |
[MR4306978] Sparse group fused lasso for model segmentation: a hybrid approach
. Adv. Data Anal. Classif. 15 (2021), no. 3, 625--671. --- Degras, David |
2018 |
[MR3796510] Online principal component analysis in high dimension: which algorithm to choose?
. Int. Stat. Rev. 86 (2018), no. 1, 29--50. --- Cardot, Hervé ; Degras, David |
2017 |
[MR3648600] Simultaneous confidence bands for the mean of functional data
. Wiley Interdiscip. Rev. Comput. Stat. 9 (2017), no. 3, e1397, 15 pp. --- Degras, David |
2016 |
[PMID27513302] A general benevolence dimension that links neural, psychological, economic, and life-span data on altruistic tendencies
. J Exp Psychol Gen. 2016 Oct;145(10):1351-1358.. --- Hubbard J, Harbaugh WT, Srivastava S, Degras D, Mayr U. |
2014 |
[PMID24793829] A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies
. Neuroimage. 2014 Sep;98:61-72. --- Degras D, Lindquist MA. |
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[MR3334018] 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 ; Degras, David |
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[MR3241278] Rotation sampling for functional data
. Statist. Sinica 24 (2014), no. 3, 1075--1095. --- Degras, David |
2013 |
[MR3129044] Confidence bands for Horvitz-Thompson estimators using sampled noisy functional data
. Bernoulli 19 (2013), no. 5A, 2067--2097. --- Cardot, Hervé ; Degras, David ; Josserand, Etienne |
2012 |
[MR2858979] Testing for parallelism among trends in multiple time series
. IEEE Trans. Signal Process. 60 (2012), no. 3, 1087--1097. --- Degras, David ; Xu, Zhiwei ; Zhang, Ting ; Wu, Wei Biao |
2011 |
[MR2895997] Simultaneous confidence bands for nonparametric regression with functional data
. Statist. Sinica 21 (2011), no. 4, 1735--1765. --- Degras, David A. |
2009 |
[MR2538111] 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 |
[MR2474387] Asymptotics for the nonparametric estimation of the mean function of a random process
. Statist. Probab. Lett. 78 (2008), no. 17, 2976--2980. --- Degras, David |
2005 |
[MR2139901] Convergence de l'estimateur spline cubique de lissage dans un modèle de régression longitudinale avec erreur de type processus
. (French) [[Asymptotics of a smoothing cubic spline estimator in a longitudinal regression model with random process noise]] C. R. Math. Acad. Sci. Paris 340 (2005), no. 11, 851--854. --- Degras, David ; Jallet, Roxane |
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Department of Mathematics
University of Massachusetts Boston
Phone: 617-287-6460;
Fax: 617-287-6433
Information: math@umb.edu
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