Abstract
An expository account of the recent theory of nonparametric inference on manifolds is presented here, with outlines of proofs and examples. Much of the theory centers around Fréchet means; but functional estimation and classification methods using nonparametric Bayes theory are also indicated. Applications in paleomagnetism, morphometrics and medical diagnostics illustrate the theory.
2010 Mathematics Subject Classification. Primary 62G20; Secondary 62G05, 62G10, 62H35, 62P10
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The author wishes to thank the referee for helpful suggestions. This research is supported by NSF grant DMS 1107053.
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Dedicated to Friedrich Götze on the Occasion of his Sixtieth Birthday
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Bhattacharya, R. (2013). A Nonparametric Theory of Statistics on Manifolds. In: Eichelsbacher, P., Elsner, G., Kösters, H., Löwe, M., Merkl, F., Rolles, S. (eds) Limit Theorems in Probability, Statistics and Number Theory. Springer Proceedings in Mathematics & Statistics, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36068-8_9
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