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 (vol 10, 1220, 2019)
– Nat Commun
(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,
620
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
– IEEE Journal of 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
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
– The 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)
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