The Library
Limit theorems for empirical Fréchet means of independent and non-identically distributed manifold-valued random variables
Tools
Kendall, Wilfrid S. and Le, Huiling. (2011) Limit theorems for empirical Fréchet means of independent and non-identically distributed manifold-valued random variables. Brazilian Journal of Probability and Statistics, Vol.25 (No.3). pp. 323-352. ISSN 0103-0752
|
PDF
WRAP_Kendall_KendallLe-2011.pdf - Published Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (279Kb) |
Official URL: http://dx.doi.org/10.1214/11-BJPS141
Abstract
We prove weak laws of large numbers and central limit theorems of Lindeberg type for empirical centres of mass (empirical Fréchet means) of independent nonidentically distributed random variables taking values in Riemannian manifolds. In order to prove these theorems we describe and prove a simple kind of Lindeberg–Feller central approximation theorem for vector-valued random variables, which may be of independent interest and is therefore the subject of a self-contained section. This vector-valued result allows us to clarify the number of conditions required for the central limit theorem for empirical Fréchet means, while extending its scope.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Science > Statistics |
| Library of Congress Subject Headings (LCSH): | Geometry, Riemannian, Limit theorems (Probability theory), Random variables |
| Journal or Publication Title: | Brazilian Journal of Probability and Statistics |
| Publisher: | Duke University Press |
| ISSN: | 0103-0752 |
| Date: | 2011 |
| Volume: | Vol.25 |
| Number: | No.3 |
| Page Range: | pp. 323-352 |
| Identification Number: | 10.1214/11-BJPS141 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| References: | Afsari, B. (2011). Riemannian Lp center of mass: Existence, uniqueness, and convexity. Proc. Amer. Math. Soc. 139, 655–655. MR2736346 Barbour, A. D. and Gnedin, A. V. (2009). Small counts in the infinite occupancy scheme. Electron. J. Probab. 14, 365–384. MR2480545 Bhattacharya, A. and Bhattacharya, R. (2008). Statistics on Riemannian manifolds: Asymptotic distribution and curvature. Proc. Amer. Math. Soc. 136, 2959–2967. MR2399064 Bhattacharya, R. and Patrangenaru, V. (2003). Large sample theory of intrinsic and extrinsic sample means on manifolds—I. Ann. Statist. 31, 1–29. MR1962498 Bhattacharya, R. and Patrangenaru, V. (2005). Large sample theory of intrinsic and extrinsic sample means on manifolds—II. Ann. Statist. 33, 1225–1259. MR2195634 Bhattacharya, R. and Rao, R. R. (1976). Normal Approximation and Asymptotic Expansions. New York–London–Sydney: Wiley. MR0436272 Billingsley, P. (1986). Probability and Measure. New York: Wiley. MR0830424 Chatterjee, S. (2008). A new method of normal approximation. Ann. Probab. 36, 1584–1610. MR2435859 Chow, Y. S. and Teicher, H. (2003). Probability Theory: Independence, Interchangeability, Martingales. New York–Heidelberg–Berlin: Springer-Verlag. Corcuera, J.-M. and Kendall, W. S. (1999). Riemannian barycentres and geodesic convexity. Math. Proc. Cambridge Philos. Soc. 127, 253–269. MR1705458 Feller, W. (1966). An Introduction to Probability Theory and Its Applications, Volume 2. New York: Wiley. MR0210154 Fréchet,M. (1948). Les éléments aléatoires de nature quelconque dans un espace distancié. Ann. Inst. Henri Poincaré 10, 215–310. MR0027464 Karcher, H. (1977). Riemannian center of mass and mollifier smoothing. Comm. Pure Appl. Math. 30, 509–541. MR0442975 Kendall, W. S. (1990). Probability, convexity, and harmonic maps with small image I: Uniqueness and fine existence. Proc. Lond. Math. Soc. (3) 61, 371–406. MR1063050 Kendall, W. S. (1991a). Convex geometry and nonconfluent Γ-martingales I: Tightness and strict convexity. In Stochastic Analysis, Proceedings, LMS Durham Symposium, 11th–21st July 1990 (M. T. Barlow and N. H. Bingham, eds.) 163–178. Cambridge: Cambridge Univ. Press. MR1166410 Kendall, W. S. (1991b). Convexity and the hemisphere. J. Lond. Math. Soc. (2) 43, 567–576. MR1113394 Kendall, W. S. (1992a). Convex geometry and nonconfluent Γ-martingales II: Well-posedness and Γ-martingale convergence. Stochastics and Stochastic Reports 38, 135–147. MR1274899 Kendall, W. S. (1992b). The Propeller: A counterexample to a conjectured criterion for the existence of certain convex functions. J. Lond. Math. Soc. (2) 46, 364–374. MR1182490 Kendall, W. S. and Le, H. (2010). Statistical shape theory. In New Perspectives in Stochastic Geometry (W. S. Kendall and I. S. Molchanov, eds.) 10 348–373. Oxford: Clarendon Press, Oxford Univ. Press. MR2654683 Le, H. (2001). Locating Fréchet means with application to shape spaces. Adv. Appl. Probab. 33, 324–338. MR1842295 Le, H. (2004). Estimation of Riemannian barycentres. LMS J. Comput. Math 7, 193–200. MR2085875 Picard, J. (1994). Barycentres et martingales sur une variété. Ann. Inst. H. Poincaré Probab. Stat. 30, 647–702. MR1302764 Röllin, A. (2011). Stein’s method in high dimensions with applications. Available at arXiv: 1101.4454. Villani, C. (2003). Topics in optimal transportation. Graduate Studies in Mathematics 58. Providence, RI: Amer. Math. Soc. MR1964483 Ziezold, H. (1977). On expected figures and a strong law of large numbers for random elements in quasi-metric spaces. Conf. Inf. Theory, Statist. Decision Functions, Random Processes A, 591– 602. MR0501230 Ziezold, H. (1989). On expected figures in the plane. In Geobild ’89 (Georgenthal, 1989). Math. Res. 51, 105–110. Berlin: Akademie-Verlag. MR1003326 Ziezold, H. (1994).Mean figures and mean shapes applied to biological figure and shape distributions in the plane. Biom. J. 36, 491–510. MR1292314 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/37637 |
Data sourced from Thomson Reuters' Web of Knowledge
Actions (login required)
![]() |
View Item |
Tools
Tools

