Nonparametric statistics on manifolds with applications to shape spaces
Abhishek Bhattacharya, Rabi Bhattacharya
Abstract
This article presents certain recent methodologies and some new results for the statistical analysis of probability distributions on manifolds. An important example considered in some detail here is the 2-D shape space of k-ads, comprising all configurations of k planar landmarks (k>2)-modulo translation, scaling and rotation.
First Page:
Show
Hide
Primary Subjects: 62G20
Secondary Subjects: 62E20, 62H35
Keywords: extrinsic and intrinsic means and variations; Kendall’s shape spaces; two-sample nonparametric tests
Full-text: Open access
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.imsc/1209398475
Digital Object Identifier: doi:10.1214/074921708000000200
References
[1] Babu, G. J. and Singh, K. (1984). On one term Edgeworth correction by Efron’s bootstrap. Sankhyā Ser. A 46 219–232.
[2] Bandulasiri, A., Bhattacharya, R. N. and Patrangenaru, V. (2007). Algorithms for nonparametric inference on shape manifolds with applications in medical imaging. To appear.
[3] Bhattacharya, A. and Bhattacharya, R. (2007). Statistics on Riemannian manifolds: asymptotic distribution and curvature. Proc. Amer. Math. Soc. In press.
Mathematical Reviews (MathSciNet):
MR2399064
Zentralblatt MATH:
05308819
Digital Object Identifier: doi:10.1090/S0002-9939-08-09445-8
[4] Bhattacharya, R. N. and Ghosh, J. K. (1978). On the validity of the formal Edgeworth expansion. Ann. Statist. 6 434–451.
Mathematical Reviews (MathSciNet):
MR471142
Zentralblatt MATH:
0396.62010
Digital Object Identifier: doi:10.1214/aos/1176344134
Project Euclid: euclid.aos/1176344134
[5] Bhattacharya, R. N. and Qumsiyeh, M. (1989). Second order and Lp-comparisons between the bootstrap and empirical Edgeworth expansions. Ann. Statist. 17 160–169.
Mathematical Reviews (MathSciNet):
MR981442
Digital Object Identifier: doi:10.1214/aos/1176347008
Project Euclid: euclid.aos/1176347008
[6] Bhattacharya, R. N. and Patrangenaru, V. (2002). Nonparametric estimation of location and dispersion on Riemannian manifolds. J. Statist. Plann. Inference 108 23–35.
Mathematical Reviews (MathSciNet):
MR1947389
Zentralblatt MATH:
1031.62024
Digital Object Identifier: doi:10.1016/S0378-3758(02)00268-9
[7] Bhattacharya, R. N. and Patrangenaru, V. (2003). Large sample theory of intrinsic and extrinsic sample means on manifolds-I. Ann. Statist. 31 1–29.
Mathematical Reviews (MathSciNet):
MR1962498
Zentralblatt MATH:
1020.62026
Digital Object Identifier: doi:10.1214/aos/1046294456
Project Euclid: euclid.aos/1046294456
[8] Bhattacharya, R. and Patrangenaru, V. (2005). Large sample theory of intrinsic and extrinsic sample means on manifolds-II. Ann. Statist. 33 1225–1259.
Mathematical Reviews (MathSciNet):
MR2195634
Zentralblatt MATH:
1072.62033
Digital Object Identifier: doi:10.1214/009053605000000093
Project Euclid: euclid.aos/1120224101
[9] Bookstein, F. L. (1991). Morphometric Tools for Landmark Data: Geometry and Biology. Cambridge Univ. Press.
Mathematical Reviews (MathSciNet):
MR1469220
Zentralblatt MATH:
0770.92001
[10] Do Carmo, M. P. (1992). Riemannian Geometry. Birkhäuser, Boston. English translation by F. Flaherty.
Mathematical Reviews (MathSciNet):
MR1138207
[11] Dryden, I. L., Le, H. and Wood, A. (2007). The MDS model for shape. To appear.
[12] Dryden, I. L. and Mardia, K. V. (1998). Statistical Shape Analysis. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR1646114
[13] Dunford, N. and Schwartz, J. (1958). Linear Operators-I. Wiley, New York.
[14] Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Ann. Statist. 7 1–26.
Mathematical Reviews (MathSciNet):
MR515681
Zentralblatt MATH:
0406.62024
Digital Object Identifier: doi:10.1214/aos/1176344552
Project Euclid: euclid.aos/1176344552
[15] Gallot, S., Hulin, D. and Lafontaine, J. (1990). Riemannian Geometry, 2nd ed. Springer, Berlin.
Mathematical Reviews (MathSciNet):
MR1083149
[16] Ghosh, J. K. (1994). Higher Order Asymptotics. IMS, Hayward, CA.
[17] Hall, P. (1992). The Bootstrap and Edgeworth Expansion. Springer, New York.
Mathematical Reviews (MathSciNet):
MR1145237
[18] Hendricks, H. and Landsman, Z. (1998). Mean location and sample mean location on manifolds: Asymptotics, tests, confidence regions. J. Multivariate Anal. 67 227–243.
Mathematical Reviews (MathSciNet):
MR1659156
Zentralblatt MATH:
0941.62069
Digital Object Identifier: doi:10.1006/jmva.1998.1776
[19] Karchar, H. (1977). Riemannian center of mass and mollifier smoothing. Comm. Pure Appl. Math. 30 509–541.
Mathematical Reviews (MathSciNet):
MR442975
Zentralblatt MATH:
0354.57005
Digital Object Identifier: doi:10.1002/cpa.3160300502
[20] Kendall, D. G. (1984). Shape manifolds, Procrustean metrics, and complex projective spaces. Bull. London Math. Soc. 16 81–121.
Mathematical Reviews (MathSciNet):
MR737237
Zentralblatt MATH:
0579.62100
Digital Object Identifier: doi:10.1112/blms/16.2.81
[21] Kendall, D. G., Barden, D., Carne, T. K. and Le, H. (1999). Shape and Shape Theory. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR1891212
[22] Kendall, W. S. (1990). Probability, convexity, and harmonic maps with small image-I. Uniqueness and the fine existence. Proc. London Math. Soc. 61 371–406.
Mathematical Reviews (MathSciNet):
MR1063050
Zentralblatt MATH:
0675.58042
Digital Object Identifier: doi:10.1112/plms/s3-61.2.371
[23] Kent, J. T. (1992). New directions in shape analysis. In The Art of Statistical Science: A Tribute to G. S. Watson (K. V. Mardia, ed.) 115–128. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR1175661
[24] Le, H. (2001). Locating frechet means with application to shape spaces. Adv. in Appl. Probab. 33 324–338.
Mathematical Reviews (MathSciNet):
MR1842295
Digital Object Identifier: doi:10.1239/aap/999188316
Project Euclid: euclid.aap/999188316
[25] Lee, J.M. (1997). Riemannian Manifolds: An Introduction to Curvature. Springer, New York.
Mathematical Reviews (MathSciNet):
MR1468735
[26] Patrangenaru, V. (1998). Asymptotic statistics on manifolds. Ph.D. dissertation, Indiana Univ.
Institute of Mathematical Statistics Collections