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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a variety of fields.
Nonparametric Statistics on Stratified Spaces and Their Applications in Object Data Analysis
Regression and Fitting on Manifold-valued Data
Manifold Learning Theory and Applications
Probability Distributions for Directional Data on Smooth Manifolds
Riemannian Geometric Statistics in Medical Image Analysis
Differential Geometry and Statistics
Elements of Dimensionality Reduction and Manifold Learning
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Mathematical Principles of Topological and Geometric Data Analysis
Statistical Shape Analysis
Information Geometry and Its Applications
Geometry of Multivariate Statistics
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