ISBN: 9781107019584 - nonparametric inference on manifolds: with applications to shape spaces (institute of mathematical statistics monographs) (6 Ergebnisse)

Hardcover. Zustand: Very Good. Minimal shelf wear, clean internals. May have remainder mark.

Hardcover. Zustand: Very Good. 1. Paper-covered boards. Minor shelf wear. Else a bright, clean copy. 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.…

Zustand: New. In English.

Zustand: New. A systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. Series: Institute of Mathematical Statistics Monographs. Num Pages: 252 pages, 20 b/w illus. BIC Classification: PBP; PBT. Category: (U) Tertiary Education (US: College). Dimension: 234 x 156 x 19. Weight in Grams: 522. . 2012. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 1st edition. 250 pages. 9.06x6.14x0.87 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…