Publications
Accurate autocorrelation modeling substantially improves fMRI reliability.
– Nature communications
(2019)
10,
1220
(doi: 10.1038/s41467-019-09230-w)
Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”
– Journal of the American Statistical Association
(2019)
114,
1103
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
Aβ-induced vulnerability propagates via the brain's default mode network.
– Nature Communications
(2019)
10,
2353
(doi: 10.1038/s41467-019-10217-w)
Accurate autocorrelation modeling substantially improves fMRI reliability (vol 10, 1220, 2019)
– Nat Commun
(2019)
10,
1511
(doi: 10.1038/s41467-019-09619-7)
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 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
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