Nonparametric Inference on Manifolds: With Applications to Shape Spaces - Couverture rigide

Bhattacharya, Abhishek; Bhattacharya, Rabi

Couverture rigide

ISBN 10 : 1107019583 ISBN 13 : 9781107019584

Editeur : Cambridge University Press, 2012

Synopsis

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Fréchet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists, and morphometricians with mathematical training.

A propos du livre

À propos des auteurs

Abhishek Bhattacharya is currently working as an assistant professor at the Indian Statistical Institute. After gaining BStat and MStat degrees from the Institute in 2002 and 2004 respectively, and a PhD from the University of Arizona in 2008, he was a postdoctoral researcher at Duke University until the end of 2010, before joining ISI in 2011. Before writing this book, he published several articles in areas as diverse as nonparametric frequentist and Bayesian statistics on non-Euclidean manifolds. All those articles can be accessed from his website.

Rabi Bhattacharya is Professor in the Department of Mathematics at the University of Arizona, Tucson.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2012
• ISBN 10: 1107019583
• ISBN 13: 9781107019584
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 252
• Coordonnées du fabricant: non disponible