47 citations · 59 across the 3 of their papers we have counts for
4 papers
Methodology and Convergence Rates for Functional Time Series Regression
Tung Pham, Victor Panaretos
The functional linear model extends the notion of linear regression to the case where the response and covariates are iid elements of an infinite dimensional Hilbert space. The unk…
Principal Sub-manifolds
Zhigang Yao, Benjamin Eltzner, Tung Pham
We propose a novel method of finding principal components in multivariate data sets that lie on an embedded nonlinear Riemannian manifold within a higher-dimensional space. Our aim…
Asymptotic normality and valid inference for Gaussian variational approximation
Peter Hall, Tung Pham, M. P. Wand +1
We derive the precise asymptotic distributional behavior of Gaussian variational approximate estimators of the parameters in a single-predictor Poisson mixed model. These results a…
Optimal properties of centroid-based classifiers for very high-dimensional data
Peter Hall, Tung Pham
We show that scale-adjusted versions of the centroid-based classifier enjoys optimal properties when used to discriminate between two very high-dimensional populations where the pr…