Formats
Paperback/English
USD 67.00
Description
What is OODA? -- Breadth of OODA -- Data object definition -- exploratory and confirmatory analyses -- OODA P -- Data visualization -- Distance based methods -- Manifold data analysis -- FDA Curve Registration -- Graph structured data objects -- Classification - supervised learning -- Clustering - unsupervised learning -- High dimensional inference -- High dimensional asymptotics -- Smoothing and SiZer -- Robust methods -- PCA details and variants -- OODA context and related areas.--Discla
