Professor of Statistics
Research Interests: Statistics: in particular Functional / Object Data Analysis, Time Series Analysis, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment and other Applied Statistics
Publications
A variational model dedicated to joint segmentation, registration, and atlas generation for shape analysis
– SIAM Journal on Imaging Sciences
(2020)
13,
351
(DOI: 10.1137/19m1271907)
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
– Journal of the American Statistical Association
(2019)
115,
1
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
– Journal of the American Statistical Association
(2019)
114,
1081
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability.
– Nature communications
(2019)
10,
1511
(DOI: 10.1038/s41467-019-09619-7)
Accurate autocorrelation modeling substantially improves fMRI reliability
– Nature communications
(2019)
10,
1220
(DOI: 10.1038/s41467-019-09230-w)
A data-centric bottom-up model for generation of stochastic internal load profiles based on space-use type
– Journal of Building Performance Simulation
(2019)
12,
1
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
– IEEE Journal on Selected Topics in Signal Processing
(2018)
12,
1615
(DOI: 10.1109/JSTSP.2018.2876995)
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
– Journal of the Royal Statistical Society Series C (Applied Statistics)
(2018)
67,
1103
(DOI: 10.1111/rssc.12258)
Connections with robust PCA and the role of emergent sparsity in variational autoencoder models
– Journal of Machine Learning Research
(2018)
19,
1
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
– Sankhya A
(2018)
81,
214
(DOI: 10.1007/s13171-018-0143-9)
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