Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians
From MaRDI portal
Publication:5242455
DOI10.1080/01621459.2019.1635477zbMath1428.62209OpenAlexW2976119622MaRDI QIDQ5242455
Simon P. Preston, Ian L. Dryden, Katie E. Severn
Publication date: 12 November 2019
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://nottingham-repository.worktribe.com/output/2189505
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Improved classification for compositional data using the \(\alpha\)-transformation
- Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
- Procrustes metrics on covariance operators and optimal transportation of Gaussian processes
- Hypothesis testing for network data in functional neuroimaging
- Object oriented data analysis: sets of trees
- Colours and Cocktails: Compositional Data Analysis 2013 Lancaster Lecture
- Distances and inference for covariance operators
- Overview of object oriented data analysis
- Principal component analysis of compositional data
- A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
- Euclidean distance matrix analysis (EDMA): Estimation of mean form and mean form difference
This page was built for publication: Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians