Harding Professor of Statistics in Public Life
Research Interests: Statistics: in particular Functional / Object Data Analysis, Time Series Analysis, Official and Public Policy Statistics, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment and other Applied Statistics
Publications
Accurate autocorrelation modeling substantially improves fMRI reliability
(2018)
(doi: 10.1101/323154)
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
– Sankhya: The Indian Journal of Statistics
(2018)
81A,
214
(doi: 10.1007/s13171-018-0143-9)
Tests for separability in nonparametric covariance operators of random surfaces
– Annals of Statistics
(2017)
45,
1431
(doi: 10.1214/16-aos1495)
Minimax optimal procedures for testing the structure of multidimensional functions
– Applied and Computational Harmonic Analysis
(2017)
46,
288
(doi: 10.1016/j.acha.2017.05.003)
Divide-and-Conquer With Sequential Monte Carlo
– Journal of Computational and Graphical Statistics
(2017)
26,
445
A ticklish problem: Studying accent variation from speech recordings
– Significance
(2017)
14,
30
Gaussian tree constraints applied to acoustic linguistic functional data
– Journal of Multivariate Analysis
(2017)
154,
199
(doi: 10.1016/j.jmva.2016.09.015)
Global and regional amyloid-β effects on default model network drive progression to AD dementia
– JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2017)
37,
157
Green generative modeling: Recycling dirty data using recurrent variational autoencoders
– Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017
(2017)
Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging
– The Annals of Applied Statistics
(2016)
10,
1854
(doi: 10.1214/16-aoas975)
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