Publications
Accurate autocorrelation modeling substantially improves fMRI reliability.
– Nature Communications
(2019)
10,
1220
(DOI: 10.1038/s41467-019-09230-w)
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
– Journal of the American Statistical Association
(2019)
1
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
– ournal of the American Statistical Association (Theory & Methods)
(2019)
114,
1081
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability
– 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,
1
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)
Inference on covariance operators via concentration inequalities: K-sample tests, classification, and clustering via rademacher complexities
– Sankhya A
(2019)
81A,
214
(DOI: 10.1007/s13171-018-0143-9)
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models
– Journal of Machine Learning Research
(2018)
19,
1
Minimax optimal procedures for testing the structure of multidimensional functions
– Applied and Computational Harmonic Analysis
(2019)
46,
288
(DOI: 10.1016/j.acha.2017.05.003)
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