Publications
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
– Journal of the American Statistical Association
(2019)
114,
1081
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
– Journal of the American Statistical Association
(2019)
115,
1420
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability (Nature Communications, (2019), 10, 1, (1220), 10.1038/s41467-019-09230-w)
– Nat Commun
(2019)
10,
1511
(DOI: 10.1038/s41467-019-09619-7)
Accurate autocorrelation modeling substantially improves fMRI reliability.
– Nat Commun
(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
Inference on covariance operators via concentration inequalities: K-sample tests, classification, and clustering via rademacher complexities
– Sankhya: The Indian Journal of Statistics
(2018)
81,
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)
- 1 of 8